Pith. sign in

Paper Citation Record · LEDGER

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network

As of 19 August 2026, this Paper Citation Record lists 100 of 165 outbound references and 0 inbound Pith citation observations for arXiv:2505.11551.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.11551 v1

Coverage vector

measured 100 of 165 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:17:34.035042Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 165 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved93
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d701af19-e546-463c-995b-3fdf3bf08f77 · outbound

This paper cites Adversarial attacks on intrusion detection systems in in-vehicle networks of connected and autonomous vehicles.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Adversarial attacks on intrusion detection systems in in-vehicle networks of connected and autonomous vehicles

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.692316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.692316Z digest=sha256:532393cba8efb95205c224e7fc650fbd3118143f20e33545c45668e32977537c

Observation 5c52b08f-5a44-4510-aadc-6ec280de9933 · outbound

This paper cites Connected and autonomous vehicles: The global race to market.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Connected and autonomous vehicles: The global race to market

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.696839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.696839Z digest=sha256:36bc4ada6cf63f744c72f7d18ab022fb6f88d68473b4423e72cf9d5280f01294

Observation d34fe13c-c07c-4e2c-8eb9-c7db53ab5ef1 · outbound

This paper cites Systematic risk characterisation of hardware threats to automotive systems.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Systematic risk characterisation of hardware threats to automotive systems

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.700417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.700417Z digest=sha256:441c7d49b4d53bb346c642cf0f5c8fc3562d4478288f3d8f14acf02d11d81f11

Observation 90f20e77-0b85-4f4c-b196-39a4b17f1a77 · outbound

This paper cites Intrusion detection systems for intra-vehicle networks: A review.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intrusion detection systems for intra-vehicle networks: A review

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.703570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.703570Z digest=sha256:6c17aa0666cdc654ab6812120cacff71ff73323631871f098922e284cc9d2948

Observation fa2d8ec7-8543-4b06-95ef-67cebc4dcd7d · outbound

This paper cites A robust multi-stage intrusion detection system for in-vehicle network security using hierarchical federated learning.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A robust multi-stage intrusion detection system for in-vehicle network security using hierarchical federated learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.707030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.707030Z digest=sha256:70448dc9d36f25dc04d1a3d7b6b28292ca3dda904f5175623ecf60b78b6ca563

Observation e611bf85-f682-416b-bfd6-ceaa657c597f · outbound

This paper cites An artificial neural network based anomaly detection method in can bus messages in vehicles.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network An artificial neural network based anomaly detection method in can bus messages in vehicles

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-15T21:17:36.111351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:17:33.710169Z digest=sha256:f50bd1f5e3a0c6270a7ab50ed13c81f6364e5f56206592afa5cc8e6c05f3a5c8

Observation 60f816f5-f839-4287-85c9-5375fc9990ee · outbound

This paper cites Cyberattacks and countermeasures for in-vehicle networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Cyberattacks and countermeasures for in-vehicle networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.714107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.714107Z digest=sha256:a7452dfc6b71b8a2323aa2f8e1a517b135539a1ca5e0860194bb6a6965ff95cf

Observation bd05ff5d-5a5d-481c-a50d-abeaea5f4986 · outbound

This paper cites Upstream’s 2024 global automotive cybersecurity report.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Upstream’s 2024 global automotive cybersecurity report

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.717718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.717718Z digest=sha256:7dc227c0be961784e844671f34c24fcb90a505b1551a83dde1270455085321cf

Observation 8dc7f309-7427-49b4-9084-2b1558f1c026 · outbound

This paper cites Survey of automotive controller area network intrusion detection systems.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Survey of automotive controller area network intrusion detection systems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.721386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.721386Z digest=sha256:6fc121464885c28df4ac4c1ffa1f60007cb50282dc56ed3446933e44775f0f73

Observation 3a48fb9d-16ba-47a8-b9a3-8908cce248e0 · outbound

This paper cites Can injection: keyless car theft.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Can injection: keyless car theft

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.725192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.725192Z digest=sha256:2a2857c5410721c9acf9939e6c0bf0d67ba58ab07d8d89099cf76c8e2e163d3f

Observation 7c5500d1-378a-40cb-8f98-7892594578d4 · outbound

This paper cites Jeep hackers at it again, this time taking control of steering and braking systems.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Jeep hackers at it again, this time taking control of steering and braking systems

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.728915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.728915Z digest=sha256:0fffc8dc28be429c2db9cde70c55905563729240ae2e823372c4a034904e06b7

Observation d2abb849-5ad8-477a-8983-eeef1d7c8018 · outbound

This paper cites New vehicle security research by keenlab: Experimental security assessment of bmw cars.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network New vehicle security research by keenlab: Experimental security assessment of bmw cars

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.732980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.732980Z digest=sha256:57bf2f14de0319e6a9baff38653a1958766d2fe5483d917f5f1831bdddf0e877

Observation 1e1f7c23-83c0-48f7-a0e9-5b50d7c346dc · outbound

This paper cites Experimental security assessment on lexus cars.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Experimental security assessment on lexus cars

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.736393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.736393Z digest=sha256:4d08bb6158e3d83dae7fd99a86f9421837dc2be2f1702548b85bfe1a997e1afe

Observation 06491e54-af46-4eaa-a69f-3947f1f966c4 · outbound

This paper cites Unlocking the full life-cycle value from connected-car data.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Unlocking the full life-cycle value from connected-car data

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.739754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.739754Z digest=sha256:ed770f4358ee37971c67178d98587f6b7f957a30ca1e2ced62e37ca12c7522ac

Observation 4e3b5a3b-e752-4e37-903f-b2122158ad01 · outbound

This paper cites Applying intrusion detection to automotive it-early insights and remaining challenges.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Applying intrusion detection to automotive it-early insights and remaining challenges

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.743124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.743124Z digest=sha256:be3dc1cb29b498bbb68cd4543ef1e7539ed19a47f094414b0e4131b298317556

Observation 4b43f85e-692f-43fd-a10c-1083056bcd37 · outbound

This paper cites Ai-based intrusion detection systems for in-vehicle networks: A survey.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Ai-based intrusion detection systems for in-vehicle networks: A survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.746743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.746743Z digest=sha256:0cbc2f29836ba5036783e39bbd63af50d7506718a39cfc88693c8236cdaba26b

Observation 7518d135-9026-46b0-80a3-33d5e4555bf7 · outbound

This paper cites Client-edge-cloud hierarchical federated learning.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Client-edge-cloud hierarchical federated learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.750254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.750254Z digest=sha256:974dc6a1d8541535b641a6bf094ebc34ba103e2f619f79fbf88864529662851e

Observation ec9a86f4-4750-4864-83c8-d55d70e915d5 · outbound

This paper cites A comprehensive survey and tutorial on smart vehicles: Emerging technologies, security issues, and solutions using machine learning.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A comprehensive survey and tutorial on smart vehicles: Emerging technologies, security issues, and solutions using machine learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.754007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.754007Z digest=sha256:0cd6a4b5c491ec38b0a0c131cba071f61fb331c53cc7efc61e181ca08c97c87e

Observation 9d15875c-8f12-4cb4-aa2b-19ed9a7afbd3 · outbound

This paper cites Intrusion threats and security solutions for autonomous vehicle networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intrusion threats and security solutions for autonomous vehicle networks

Reference 19

Resolution
verified exact
doi, observed 2026-08-15T21:17:34.445862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:17:33.757476Z digest=sha256:3ef969c0e7014c876df8f9d0d07486758a77b4bb61161757535cb57950403ea5

Observation 9ce51f29-2386-4287-8d50-a6c1ca492658 · outbound

This paper cites Automotive in vehicle network protocols.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Automotive in vehicle network protocols

Reference 20

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T21:17:35.902747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:17:33.760997Z digest=sha256:abad1c0661712949a6ea7155d1cf77a6d025eb270a3c3699bfa1f1c4ee9ddc0f

Observation 97c8382f-54bb-4c9d-b54b-10cccb9b1c7f · outbound

This paper cites Intrusion detection system for automotive controller area network (can) bus system: a review.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intrusion detection system for automotive controller area network (can) bus system: a review

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.763941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.763941Z digest=sha256:3520a29847857bcdf8bc67f8a5660fe5f55c29a1065892bec9fd4a18c0b2c683

Observation bfddd0a4-5508-4064-9196-8864a811ed70 · outbound

This paper cites In-vehicle networks: Attacks, vulnerabilities, and proposed solutions.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network In-vehicle networks: Attacks, vulnerabilities, and proposed solutions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.767352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.767352Z digest=sha256:e84988b48330eaf3e663c8fb097e9e031233c243766f61bb20000085746f3dde

Observation 728ade87-d92b-48c3-8b8f-f965bc7a516f · outbound

This paper cites In-vehicle network attacks and countermeasures: Challenges and future directions.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network In-vehicle network attacks and countermeasures: Challenges and future directions

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.770293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.770293Z digest=sha256:af0fc674325d8761112c57b19098e51be3a44242bb5ce8d936a096d1a7609732

Observation 918f8a4a-d5f3-410c-8de1-8e763a0fc9ac · outbound

This paper cites A survey of network intrusion detection systems for controller area network.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A survey of network intrusion detection systems for controller area network

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.773362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.773362Z digest=sha256:6e2ec839ae896cf5207b4f0047cc0258a9ff5596d42a1839ff7f2915b3e6ea8a

Observation 43758216-8a8e-4d0f-ac7e-93417b2582c3 · outbound

This paper cites A survey of intrusion detection for in-vehicle networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A survey of intrusion detection for in-vehicle networks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.776339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.776339Z digest=sha256:8cba50e79c73e6ce2655921a99ef135e237ae178e205c8c17032fab39fd00063

Observation a8d3872e-fb8e-436f-af1f-c731a529f3cb · outbound

This paper cites A systematic survey of attack detection and prevention in connected and autonomous vehicles.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A systematic survey of attack detection and prevention in connected and autonomous vehicles

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.780006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.780006Z digest=sha256:18d6f86e5809ee790f65fb21f3397093f156a1f9bc2efe30604d8f8b860fae74

Observation da9e9b99-a5b0-4df1-939d-70b522748cee · outbound

This paper cites Comprehensive experimental analyses of automotive attack surfaces.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Comprehensive experimental analyses of automotive attack surfaces

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.783102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.783102Z digest=sha256:bd109085961bc85f310a90246cc9c92fbcc297555781c697e7fcf6be546bdcef

Observation e4d04204-6350-4c3e-ab2d-7f105e5874f7 · outbound

This paper cites Experimental security analysis of a modern automobile.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Experimental security analysis of a modern automobile

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.786569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.786569Z digest=sha256:c1d7138a2292e08e2bb301bfbe9650abd101c731651af69ea4f6788e6258f7ed

Observation a10c1952-a945-46d8-a2d4-268a51135991 · outbound

This paper cites Detecting attacks on the can protocol with machine learning.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Detecting attacks on the can protocol with machine learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.789769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.789769Z digest=sha256:6657858752ee7746cd939ecab5cd71f2f99b89165e7c137bd4d4ee986cf433e8

Observation c0ce122d-622e-40a1-aeb1-061552980731 · outbound

This paper cites A practical wireless attack on the connected car and security protocol for in-vehicle can.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A practical wireless attack on the connected car and security protocol for in-vehicle can

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.793705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.793705Z digest=sha256:0b597a50e060595494f78786308d9ac4e1ecfcedfb9119c904d4a10e254f6436

Observation c0b9251d-60d6-4f4b-96ff-3da218991780 · outbound

This paper cites Detecting in-vehicle intrusion via semi-supervised learning-based convolutional adversarial autoencoders.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Detecting in-vehicle intrusion via semi-supervised learning-based convolutional adversarial autoencoders

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.797721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.797721Z digest=sha256:aa32c2d10f1f1a2d4a0ee0dc0650370f6181ea16b2a51d28ef966e6b550a6484

Observation fc3f8c97-657c-49ce-8f22-5a6e0978d7a8 · outbound

This paper cites Otids: A novel intrusion detection system for in-vehicle network by using remote frame.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Otids: A novel intrusion detection system for in-vehicle network by using remote frame

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.801033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.801033Z digest=sha256:d9f2e852736746e991a33ea64d75a76fa1da5dcbee8b9d880203f2ca23b31122

Observation 7679b171-2b98-4a2d-b500-ef4bf44ba2dd · outbound

This paper cites Error handling of in-vehicle networks makes them vulnerable.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Error handling of in-vehicle networks makes them vulnerable

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.804331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.804331Z digest=sha256:8494838336544abe86cdba618813a29858c3df646f676fc39b6cf9aed3bffc49

Observation 62a4cca1-a03c-4c52-9ae8-796b90b68526 · outbound

This paper cites An effective in-vehicle can bus intrusion detection system using cnn deep learning approach.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network An effective in-vehicle can bus intrusion detection system using cnn deep learning approach

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.809070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.809070Z digest=sha256:248a3859f3b66493d1a52ff72c57b0464af6e9f5ca25133c4777b22250256109

Observation 7688ca21-d165-47ee-89ad-cc71fc7fa94c · outbound

This paper cites Fuzz testing for automotive cyber-security.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Fuzz testing for automotive cyber-security

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.813267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.813267Z digest=sha256:9a20a423466e31f0e27572f8a72c7b2e638319418f71af098558ed046e96a911

Observation a26125fe-a957-416d-acad-ef74555a703a · outbound

This paper cites Spoofing attack using bus-off attacks against a specific ecu of the can bus.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Spoofing attack using bus-off attacks against a specific ecu of the can bus

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.816482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.816482Z digest=sha256:8a2a86548fca0f1b44acc2ed6c5c2d087cb5dd61cc3b32218e2c7ba03140dc18

Observation b913a468-b4de-4766-ae08-c37163650130 · outbound

This paper cites Lstm-based intrusion detection system for in-vehicle can bus communications.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Lstm-based intrusion detection system for in-vehicle can bus communications

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.819694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.819694Z digest=sha256:7b988f33204870ebb9be08eb1174bbb718b72e034b57feac80941418ff679a8d

Observation e2462cda-b71f-42a5-abd5-bd2f775226a5 · outbound

This paper cites A survey of attacks on controller area networks and corresponding countermeasures.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A survey of attacks on controller area networks and corresponding countermeasures

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.822875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.822875Z digest=sha256:284f9082f5194a822b8de75a3317930e420c27c7df9d12c1d45b0d6b7b0aabb2

Observation 3cd21b80-3d3e-48ff-b14f-3b8093b5d72e · outbound

This paper cites Demystifying in-vehicle intrusion detection systems: A survey of surveys and a meta-taxonomy.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Demystifying in-vehicle intrusion detection systems: A survey of surveys and a meta-taxonomy

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.826012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.826012Z digest=sha256:deb2a42a6fd61e5e808f5b8df3b97006e33d1c57d1c0f41b571c3d5b611841a4

Observation 4554e438-1ded-4316-8c3b-130c1847b58a · outbound

This paper cites Towards viable intrusion detection methods for the automotive controller area network.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Towards viable intrusion detection methods for the automotive controller area network

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.830015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.830015Z digest=sha256:09fd65e3c48e15013b4c430a5e1dcb350b9c1c93109a20391adb74578c0e46a9

Observation db14bf5f-fdc3-4682-b3b8-e8d1bed25b33 · outbound

This paper cites A survey of anomaly detection for connected vehicle cybersecurity and safety.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A survey of anomaly detection for connected vehicle cybersecurity and safety

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.833188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.833188Z digest=sha256:a4f8376d983b4163334fed45b9313b4c5484e4c1113896090d385d2e5b98d519

Observation 204eb224-a252-4080-a68a-d9ec8d15ec72 · outbound

This paper cites A taxonomy and survey of cyber-physical intrusion detection approaches for vehicles.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A taxonomy and survey of cyber-physical intrusion detection approaches for vehicles

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.837651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.837651Z digest=sha256:afca3dd9259288395852dddc9163a59c941b3729050b27882292f28e4fe1e9ed

Observation eb9738d8-4876-4087-a5c4-0885b8ab448e · outbound

This paper cites Intrusion detection systems in automotive ethernet networks: challenges, opportunities and future research trends.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intrusion detection systems in automotive ethernet networks: challenges, opportunities and future research trends

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.840396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.840396Z digest=sha256:7a8916a430d88b337ae1e69ef1107cf1c1511971b0db5c506a7c8f3e766be8b9

Observation e65cbdc0-ea2f-4e04-871c-4c63aaaba21e · outbound

This paper cites Intrusion detection in the automotive domain: A comprehensive review.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intrusion detection in the automotive domain: A comprehensive review

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.843225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.843225Z digest=sha256:6ef5be43d31e7eaad1315df88c27e5a7ae7de234a81964edca7596625ea3226b

Observation dae29657-f301-4ab2-b7d3-51a9359d035d · outbound

This paper cites Machine learning based intrusion detection systems for connected autonomous vehicles: A survey.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Machine learning based intrusion detection systems for connected autonomous vehicles: A survey

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.845905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.845905Z digest=sha256:f1b5156157028e62c11df6c2cfd7926254f1f1155928b079afc084198c6f9b33

Observation e7479d42-596d-47cd-b36b-38ba313f8e84 · outbound

This paper cites A survey of deep learning-based intrusion detection in automotive applications.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A survey of deep learning-based intrusion detection in automotive applications

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.848681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.848681Z digest=sha256:64bfb466d62dd96fd1a9bb8b674bc93acb2d745d1e908362add097636746fecf

Observation 3784f3d7-6e62-49a2-a87b-e348e4793c35 · outbound

This paper cites Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.852306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.852306Z digest=sha256:dff268ac7929045bfa658c289a46d396747b61de28ee170231e3aea288ebdb70

Observation e8635cba-b676-4621-a0ff-727df81bf635 · outbound

This paper cites Security issues in internet of vehicles (iov): A comprehensive survey.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Security issues in internet of vehicles (iov): A comprehensive survey

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.855463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.855463Z digest=sha256:006691f43268ce24381116d4600b036a1dcf184a84a769e270f028c5f630701c

Observation d615b7a1-3950-4cb7-94b9-7be849746987 · outbound

This paper cites A Survey of Federated Learning for Connected and Automated Vehicles.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A Survey of Federated Learning for Connected and Automated Vehicles

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.859403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.859403Z digest=sha256:50b2dd85ffd2186a67a2279decec4621c8a40a333a59628800704fe42c7b0c2b

Observation 10906b72-5046-4ef5-a2b5-f4209e1abc4c · outbound

This paper cites A systematic review of systematic review process research in software engineering.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A systematic review of systematic review process research in software engineering

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.863534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.863534Z digest=sha256:1d39039f89bff64e2aff08866a27ed46d238c309ebd68e9ad7cc7df444978f4e

Observation de3bb1df-4cbb-40ef-8f36-279f7f32cfbb · outbound

This paper cites Security and privacy requirements for the internet of things: A survey.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Security and privacy requirements for the internet of things: A survey

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.866827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.866827Z digest=sha256:338837e0716b55853e17d8a39f571967d257cdfb768e3d1669b3a8a6ec1460bf

Observation cffeb5d6-5d43-4f1d-a0e0-9e2ebd4844b2 · outbound

This paper cites Guidelines for snowballing in systematic literature studies and a replication in software engineering.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Guidelines for snowballing in systematic literature studies and a replication in software engineering

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.870053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.870053Z digest=sha256:c78cb067adf765bb97a7a0a7a74d793729b2943b9ef1962f6195aa203a108e1d

Observation cbb731f5-4498-4dd5-816d-a1a88d1db275 · outbound

This paper cites Intrusion Detection based on Federated Learning: a systematic review.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intrusion Detection based on Federated Learning: a systematic review

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:17:34.408917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:17:33.873269Z digest=sha256:cc9fa291bc25354ebf2302e5d26b55b711a7291a839a8d085a2e41ed742d948b

Observation a62db6ca-8cb3-4086-bd76-d4dd1931175f · outbound

This paper cites In-vehicle network intrusion detection using deep convolutional neural network.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network In-vehicle network intrusion detection using deep convolutional neural network

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.876626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.876626Z digest=sha256:adddbe59f415202ba538384b468382e87ac3f15da6e4b07f817eb7f8ac7ce496

Observation 2af69a6c-cae1-4180-bc7f-d9df0b7fce3f · outbound

This paper cites Detecting can bus intrusion by applying machine learning method to graph based features.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Detecting can bus intrusion by applying machine learning method to graph based features

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.880743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.880743Z digest=sha256:a13fd5ab64a0ba67ae3357fc018b99ac74ec4652ebcdc56ab5312fa762c29b1e

Observation cb8add52-5995-45d9-a214-c3ad4244c219 · outbound

This paper cites Can intrusion detection using long short-term memory (lstm).

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Can intrusion detection using long short-term memory (lstm)

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.883963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.883963Z digest=sha256:5e4fe7b9123c777b79b18ed4ef8e06b6f35ff129a564d0c94d1943e373c718e2

Observation fda5f4a2-f530-4d81-924e-21a6a946cf26 · outbound

This paper cites An fpga-based intrusion detection system using binarised neural network for can bus systems.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network An fpga-based intrusion detection system using binarised neural network for can bus systems

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.887898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.887898Z digest=sha256:7b0ee8cec92debd2bdf9d6b988fa8f627195f4b596b508c22150e928379d998e

Observation a837bfaa-657e-4e49-bac2-69f41d4bbc0a · outbound

This paper cites Network traffic anomaly detection in can bus based on ensemble learning.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Network traffic anomaly detection in can bus based on ensemble learning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.891195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.891195Z digest=sha256:b7f3881d08db6191a13a8c02101197f5781b1086018ee83240726c39201d98af

Observation 747c9978-bf71-45a2-9cd0-1554869dcaa6 · outbound

This paper cites Intrusion detection system using deep neural network for in-vehicle network security.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intrusion detection system using deep neural network for in-vehicle network security

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.894643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.894643Z digest=sha256:36f4448e37249c659ddc576c665d0bb97a2ebede128c386fdc1e1a4f4f0f0684

Observation cb5e1e8b-1e99-4488-826e-647a2e7df82c · outbound

This paper cites Car hacking identification through fuzzy logic algorithms.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Car hacking identification through fuzzy logic algorithms

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.898138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.898138Z digest=sha256:fb6c6fbcb07297b2cb4c5d4aed6c1ecaa477a4f4d505ad5b1fe61adfd99376de

Observation d524025a-e657-4945-9aba-b83a558608c0 · outbound

This paper cites In-vehicle detection of targeted can bus attacks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network In-vehicle detection of targeted can bus attacks

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.900851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.900851Z digest=sha256:d14d82d2e216add59d0724530b349754caf536f79197edd1c8bfa1bd10581dce

Observation 48f2b76c-f05f-4d69-9d06-3014c1834180 · outbound

This paper cites Machine learning-based intrusion detection for securing in-vehicle can bus communication.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Machine learning-based intrusion detection for securing in-vehicle can bus communication

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.903676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.903676Z digest=sha256:bca8ee84c9ff628ba4c94abdc8a8494c7f5771368f7e5c1115a27cf92d9466a9

Observation ea8477a6-d38e-4b7b-9d8d-1dbebe53db12 · outbound

This paper cites Multi-classification in-vehicle intrusion detection system using packet-and sequence-level characteristics from time-embedded transformer with autoencoder.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Multi-classification in-vehicle intrusion detection system using packet-and sequence-level characteristics from time-embedded transformer with autoencoder

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.906534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.906534Z digest=sha256:d3dfdcbdff30e6d305593b35ac0a24fc439b8f2ffc0ac15247cd826ede3100bd

Observation 6ddcbdbe-ca44-474e-83a4-022a24de79cf · outbound

This paper cites Efficient and effective in-vehicle intrusion detection system using binarized convolutional neural network.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Efficient and effective in-vehicle intrusion detection system using binarized convolutional neural network

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.909244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.909244Z digest=sha256:0404c2792af0b58b5b4edd05ccd651ba8e26b526f283ff2b4cb759e7f0d9d40f

Observation 3ba5e607-96cb-4ad5-a483-a8244259f45a · outbound

This paper cites Rapid, multi-vehicle and feed-forward neural network based intrusion detection system for controller area network bus.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Rapid, multi-vehicle and feed-forward neural network based intrusion detection system for controller area network bus

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.912589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.912589Z digest=sha256:74e375a59c778fa8c5fda7cf9b62d67f81c552a4c2c1926a50805b5c11c02be6

Observation 085b6ccf-edbb-46af-aa92-5c61abad8b48 · outbound

This paper cites Mga-ids: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-can bus based on genetic algorithm and intrusion detection approach.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Mga-ids: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-can bus based on genetic algorithm and intrusion detection approach

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.916195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.916195Z digest=sha256:b09d5a48223ee68a85721686303ef8ffc0eacb6b38243f5c6a2a9aa0db38935c

Observation 1b90482c-f31c-4066-bf6d-f7c22c6fcabe · outbound

This paper cites An anomaly detector for can bus networks in autonomous cars based on neural networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network An anomaly detector for can bus networks in autonomous cars based on neural networks

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.919631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.919631Z digest=sha256:2e0e6cb052b7e92c9cecea34685100515a7476cd23e1da189d0725cfddf84821

Observation 0266b9e1-05cd-4bf5-b0d7-947d2398a112 · outbound

This paper cites Hierarchical anomaly detection model for in-vehicle networks using machine learning algorithms.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Hierarchical anomaly detection model for in-vehicle networks using machine learning algorithms

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.923406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.923406Z digest=sha256:dd5fbfd810ffeca1b302738cfdbce4428d785d65e82b63c1c8394c80339a1f16

Observation 79b87f79-753d-40c9-9ad0-3133315a23bf · outbound

This paper cites A convolutional encoder network for intrusion detection in controller area networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A convolutional encoder network for intrusion detection in controller area networks

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.926844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.926844Z digest=sha256:cbdbd699b54444036a957db1d33edb1bbefe188a71ab42008d164d2a89077a8a

Observation 7df4ccf2-b2dd-4799-95a6-07712dd44e02 · outbound

This paper cites Machine learning-based intrusion detection system for controller area networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Machine learning-based intrusion detection system for controller area networks

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.930138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.930138Z digest=sha256:68d8a3c6580cebe9952ae6b944239a898146b11d2bb7e45fe41158d386ab2012

Observation 5670b18c-c8e2-4bb1-88f1-74c972f724cc · outbound

This paper cites Intrusion detection system for can bus in-vehicle network based on machine learning algorithms.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intrusion detection system for can bus in-vehicle network based on machine learning algorithms

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.933357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.933357Z digest=sha256:65017fab9994ad1cdb84efd8e7b443940873449c1167d659a662e53ccab39789

Observation cc84d30c-9425-407a-9087-44627c78c4db · outbound

This paper cites In-vehicle intrusion detection based on deep learning attention technique.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network In-vehicle intrusion detection based on deep learning attention technique

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.936520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.936520Z digest=sha256:afcea75e7172cd8f9a9184bf4ff53b2ef68cfbc6ae89e2fbd8acaa4586226654

Observation ab676601-6800-4802-80f6-018f5217cf84 · outbound

This paper cites Classification of normal and malicious traffic based on an ensemble of machine learning for a vehicle can-network.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Classification of normal and malicious traffic based on an ensemble of machine learning for a vehicle can-network

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.940602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.940602Z digest=sha256:b23584a331151e9f6fb9cc591a9d0a657683d45773009b25e82b9d2ecffa2124

Observation 976025de-9f2c-4d41-be8a-d1a5a457308b · outbound

This paper cites In-vehicle network intrusion detection system based on bi-lstm.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network In-vehicle network intrusion detection system based on bi-lstm

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.943979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.943979Z digest=sha256:b73c4176300f949dc237ad3df98cfabd15fc8e1c78c9c32bc9b4036972dd4b76

Observation e6fd3a7c-6b6f-419e-9cf2-6e27e382eb35 · outbound

This paper cites Intelligent intrusion detection framework for anomaly-based can bus network using bidirectional long short-term memory.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intelligent intrusion detection framework for anomaly-based can bus network using bidirectional long short-term memory

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.946984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.946984Z digest=sha256:3d1e5769bd53f024477e525d2a790f61149becb0bd6d64b9139b52006224c3ae

Observation 1f62b277-afe4-49ad-b7f0-42a2f518180c · outbound

This paper cites Hybridsecnet: In-vehicle security on controller area networks through a hybrid two-step lstm-cnn model.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Hybridsecnet: In-vehicle security on controller area networks through a hybrid two-step lstm-cnn model

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.950520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.950520Z digest=sha256:ef46ec44add015a6ab15392a5d4557176c52be5f0d3d652b4177b0d5a7a8712c

Observation ce5b8fa3-e74b-4e90-9744-97c07ad2ea0c · outbound

This paper cites An effective ensemble learning-based real-time intrusion detection scheme for an in-vehicle network.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network An effective ensemble learning-based real-time intrusion detection scheme for an in-vehicle network

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.953759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.953759Z digest=sha256:b7a30208ce813f95419c32629042098ead26fbb95e08857cf831a68451dcc1d5

Observation 8ea46e9b-e592-4446-b549-12b0eda9a709 · outbound

This paper cites Towards a lightweight intrusion detection framework for in-vehicle networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Towards a lightweight intrusion detection framework for in-vehicle networks

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.957278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.957278Z digest=sha256:4fd9316724ef7d551005efbad77a8933d7672f7320d25a6689f07059fcaff920

Observation ede4e7ca-9783-4cce-ac96-c9935c3f8d50 · outbound

This paper cites A multi-attention based cnn-bilstm intrusion detection model for in-vehicle networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A multi-attention based cnn-bilstm intrusion detection model for in-vehicle networks

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.960579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.960579Z digest=sha256:1abad760437c6378781c2e554e0eb55ee4444748ab9548c467a7e09abcf47848

Observation d31b5718-41e3-4c7c-998f-06e7e75b8041 · outbound

This paper cites In-vehicle intrusion detection system on controller area network with machine learning models.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network In-vehicle intrusion detection system on controller area network with machine learning models

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.963576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.963576Z digest=sha256:e90ae6386eac68afad8d4036b7f4ff4a5e492722ef3a83666a8a8c97ab006975

Observation 75731d7a-6eaa-455a-a606-48c29cad5c29 · outbound

This paper cites Multi-classification and tree-based ensemble network for the intrusion detection system in the internet of vehicles.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Multi-classification and tree-based ensemble network for the intrusion detection system in the internet of vehicles

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.967650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.967650Z digest=sha256:ee3a4e4fee1306f0805d3e120415e5e23487df6cfa42f4dfece370963b2d101a

Observation 0dc06094-c7dc-4c3b-8ca1-e9ae5a026665 · outbound

This paper cites A gru-based lightweight system for can intrusion detection in real time.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A gru-based lightweight system for can intrusion detection in real time

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.971364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.971364Z digest=sha256:e231556fb20adb3c40b6cc7d89fe7a442d7b6bf6cfd0f3f71acbdbb9e0b208af

Observation b0d3feed-3807-455b-b4d8-efc5ff842421 · outbound

This paper cites Divacan: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Divacan: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.974672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.974672Z digest=sha256:fa18dccb2610a9d29b2646b4421bbad3a4d1cca053df6301e14e1009f465b342

Observation 17cc330f-d3ca-40c5-bba2-ff08d58877c0 · outbound

This paper cites Using deep learning networks to identify cyber attacks on intrusion detection for in-vehicle networks.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Using deep learning networks to identify cyber attacks on intrusion detection for in-vehicle networks

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.978198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.978198Z digest=sha256:520274529076750f7074cc011a8a73355671f8cd30ae0090cfad3e50c3e9a5cc

Observation d717fb3b-e142-469d-9fdd-a3ccc85f0d7c · outbound

This paper cites Long short-term memory-based intrusion detection system for in-vehicle controller area network bus.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Long short-term memory-based intrusion detection system for in-vehicle controller area network bus

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.981550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.981550Z digest=sha256:d94cc7b9c261d4a2ae8f4bc6682158f8f8810ef420f84643f689ac279235d0fb

Observation 56148d28-75e3-4782-8af2-8d4b9c87aa7a · outbound

This paper cites Embedded intrusion detection system for detecting attacks over can-bus.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Embedded intrusion detection system for detecting attacks over can-bus

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.984541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.984541Z digest=sha256:e1e09bd885fae0844e6c37acbf3835000552c9ec24b50d25525eeae57105de19

Observation cdcdfa52-fb8d-458d-ac9d-22756701ae4f · outbound

This paper cites Enhancing cyber security in autonomous vehicles: A hybrid xg boost-deep learning approach for intrusion detection in the can bus.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Enhancing cyber security in autonomous vehicles: A hybrid xg boost-deep learning approach for intrusion detection in the can bus

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.988417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.988417Z digest=sha256:05202345a8f793414700962002a7eebb1d4504638239ce0a79fcda2f2bae5fcf

Observation 07679234-5969-4638-ba58-532dcee51a45 · outbound

This paper cites Transformer-based attention network for in-vehicle intrusion detection.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Transformer-based attention network for in-vehicle intrusion detection

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.991458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.991458Z digest=sha256:78b3349358ca43a3c2fb5a7018bd8ae251134b73a21aab51954a7171adac5713

Observation 3a0eee16-d6f0-4c63-ab53-6ac0e77fb0fb · outbound

This paper cites Gids: Gan based intrusion detection system for in-vehicle network.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Gids: Gan based intrusion detection system for in-vehicle network

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.994770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.994770Z digest=sha256:570f99316d2b2c06397c3818d6d7767778a56cdf1237a13946d74ed2afe1be21

Observation b4852458-e50e-446e-91f7-91e9c6a08b31 · outbound

This paper cites A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:33.998400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:33.998400Z digest=sha256:1d92e2430b24f1853064a5a32f61078d75b59c31d2d163e6635e24b0777d1076

Observation c4508eb4-081c-42e0-8c37-9e7be1c9cdef · outbound

This paper cites Intrusion detection in can bus, 2019.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Intrusion detection in can bus, 2019

Reference 91

Resolution
verified exact
doi, observed 2026-08-15T21:17:34.393350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:17:34.002256Z digest=sha256:069238a45f1caafba659f37f5f5f5967364b1d9817826a7860b7131b61d4659f

Observation b009b3ae-469e-4824-98ef-d08736614ef1 · outbound

This paper cites Probing the limits of anomaly detectors for automobiles with a cyberattack framework.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Probing the limits of anomaly detectors for automobiles with a cyberattack framework

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:34.006697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:34.006697Z digest=sha256:b21fa0e31eda396d43aebd034f5bd3ccb18f0c22fff32f263198759f65f21c57

Observation 63c9816c-0d3c-41aa-a6fd-92b1b45f58be · outbound

This paper cites Anomaly intrusion detection method for vehicular networks based on survival analysis.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Anomaly intrusion detection method for vehicular networks based on survival analysis

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:34.010318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:34.010318Z digest=sha256:e760c25256c11663e6bcd36fccea1e56129f8a8e9fe50d663cc3bb479802b903

Observation fc94b62a-dbad-4684-96ee-fb79fb25971e · outbound

This paper cites Car hacking and defense competition on in-vehicle network.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Car hacking and defense competition on in-vehicle network

Reference 94

Resolution
verified exact
raw_fallback, observed 2026-08-15T21:17:35.356802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:17:34.014635Z digest=sha256:574558b8cf782e9ab48257f6558fccc401a38db2b6d86eba24f820ef65fed1dd

Observation e6a208dd-b7a7-4d2a-b1e8-e0a77dab0a2b · outbound

This paper cites (Jerry) den Hartog, and S.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network (Jerry) den Hartog, and S

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:34.017833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:34.017833Z digest=sha256:6b4f1ada84b673bf3e96f4531ed07ebbaefa846d6719df0d89fbc08da22f65b7

Observation 3c7d8e6e-bd00-49a9-b399-d7f1484dedfc · outbound

This paper cites In-vehicle network intrusion detection challenge, 2019.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network In-vehicle network intrusion detection challenge, 2019

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:34.021252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:34.021252Z digest=sha256:fc059d6b503c935b5bbe904a00a6465e785cdd04e6c480fe0ae5aeb984711719

Observation 99036d13-a4fb-482b-abe1-cc8ab97a5ae7 · outbound

This paper cites Network anomaly detection using lstm based autoencoder.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Network anomaly detection using lstm based autoencoder

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:34.024468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:34.024468Z digest=sha256:3804e974de757ed07692f7e377f92ba142b661d9890cf0463421213af456c1b6

Observation da0c2869-2b89-43c6-9735-509b9d32d35f · outbound

This paper cites Anomaly detection in network traffic using unsupervised machine learning approach.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Anomaly detection in network traffic using unsupervised machine learning approach

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:34.028266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:34.028266Z digest=sha256:ab9d253b4178135ebc40c05c267b4b66e53dfb364000a14a9141343942e42093

Observation 29520aa1-1d7b-426b-957c-63f1d2e75bb0 · outbound

This paper cites Unsupervised approach for detecting low rate attacks on network traffic with autoencoder.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Unsupervised approach for detecting low rate attacks on network traffic with autoencoder

Reference 99

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T21:17:35.232364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:17:34.031506Z digest=sha256:ed2e02071bb6426f642454600913fa6c164f702c24a9d940a5b466235723cb25

Observation b1f882f5-1d62-4a41-b194-b9b8e04392c3 · outbound

This paper cites An intelligent secured framework for cyberattack detection in electric vehicles’ can bus using machine learning.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network An intelligent secured framework for cyberattack detection in electric vehicles’ can bus using machine learning

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:34.035042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:17:34.035042Z digest=sha256:d90eaced7a43cbe44805aa30e90684959eaef1fecf0e1a51f441f9555e5ea9db

Pith citing papers

No inbound Pith citation observations are available.