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Paper Citation Record · LEDGER

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection

As of 10 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2512.15503.

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

pith.paper-citation-record.v1
2512.15503 v3

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:51:29.526930Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T00:52:58.790302Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:05:56.781894Z

Reference resolution

75 of 75 outbound references displayed

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  • verified fuzzy0
  • unresolved74
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2c56ee3-5a46-4178-aa51-8f0c74549157 · outbound

This paper cites Secure Vehicular Communication Systems: Design and Architecture,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Secure Vehicular Communication Systems: Design and Architecture,

Reference 1

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source=pdf_text observed=2026-08-03T15:51:24.439542Z digest=sha256:5c20ed5de2d70ea2762e186a9fea1c630b91747ae7cfe8c2b5f3c5bdce1f5a17

Observation d84c3c53-7313-4266-9f6d-0235828610a2 · outbound

This paper cites Platoon management with cooperative adaptive cruise control enabled by vanet,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Platoon management with cooperative adaptive cruise control enabled by vanet,

Reference 2

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Observation 0b74daf1-034c-4988-91b4-7cff4edd8390 · outbound

This paper cites Security Vulnerabilities of Connected Vehicle Streams and Their Impact on Cooperative Driving,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Security Vulnerabilities of Connected Vehicle Streams and Their Impact on Cooperative Driving,

Reference 3

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Observation 4c19a1b1-b1ab-4770-9664-d981c7272c91 · outbound

This paper cites Prime: Platoon restructuring for incident mitigation and exclusion,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Prime: Platoon restructuring for incident mitigation and exclusion,

Reference 4

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Observation b1f80306-7aec-4239-9628-d5ea9f8daed9 · outbound

This paper cites Atten- tionGuard: Transformer-based Misbehavior Detection for Secure Vehic- ular Platoons,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Atten- tionGuard: Transformer-based Misbehavior Detection for Secure Vehic- ular Platoons,

Reference 5

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source=pdf_text observed=2026-08-03T15:51:24.895156Z digest=sha256:71c2f2f6f4d87ee5a57e859b0169a058075e318f7c95dc9168f855f74d2a1710

Observation 8ff595bf-cb0c-4211-912b-075d0193ef99 · outbound

This paper cites Beyond the Attack: Strategies for Attack Endgame Mitigation in V ANETs,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Beyond the Attack: Strategies for Attack Endgame Mitigation in V ANETs,

Reference 6

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Observation eb155541-60f7-44e6-832d-7fff2cd93b7c · outbound

This paper cites Attack impact and misbehavior detection in vehicular platoons,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Attack impact and misbehavior detection in vehicular platoons,

Reference 7

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Observation aedf65df-0ccc-4e92-9bc9-ddf8e2fb6194 · outbound

This paper cites Analyzing Attacks on Cooperative Adaptive Cruise Control (CACC),.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Analyzing Attacks on Cooperative Adaptive Cruise Control (CACC),

Reference 8

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Observation c5f0d619-7825-4887-a955-ff60ab23a101 · outbound

This paper cites On the Performance of Secure Vehicular Commu- nication Systems,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection On the Performance of Secure Vehicular Commu- nication Systems,

Reference 9

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Observation efdbfc79-b079-47fc-9de0-a8b178c7aa10 · outbound

This paper cites SECMACE: Scalable and Robust Identity and Credential Management Infrastructure in Vehicular Communication Sys- tems,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection SECMACE: Scalable and Robust Identity and Credential Management Infrastructure in Vehicular Communication Sys- tems,

Reference 10

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Observation cba655d8-73b7-4016-88d0-d4c802a3e2a0 · outbound

This paper cites Scalable & Resilient Vehicle-Centric Certificate Revocation List Distribution in Vehicular Communication Systems,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Scalable & Resilient Vehicle-Centric Certificate Revocation List Distribution in Vehicular Communication Systems,

Reference 11

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Observation 555c3c71-268d-4eaf-9d5b-af4f35aee0e2 · outbound

This paper cites Machine learning approach for multiple misbehavior de- tection in vanet,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Machine learning approach for multiple misbehavior de- tection in vanet,

Reference 12

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Observation 0a35d77d-89c8-49e3-9d5d-f021f4b922d7 · outbound

This paper cites Advancing Intrusion Detection in V2X Networks: A Comprehensive Survey on Machine Learning, Federated Learning, and Edge AI for V2X Security,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Advancing Intrusion Detection in V2X Networks: A Comprehensive Survey on Machine Learning, Federated Learning, and Edge AI for V2X Security,

Reference 13

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Observation b841c3c1-f52f-4d79-8634-3723c08d8be3 · outbound

This paper cites Investigating attacks on vehicular platooning and cooperative adaptive cruise control,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Investigating attacks on vehicular platooning and cooperative adaptive cruise control,

Reference 14

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Observation a65b08c3-56ae-4484-8a80-460e0c9b1c12 · outbound

This paper cites Vulnerability analysis of vehicular coordinated maneuvers,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Vulnerability analysis of vehicular coordinated maneuvers,

Reference 15

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Observation d39519cf-b013-4aae-994d-084702c53e38 · outbound

This paper cites Replace: Real-time security assurance in vehicular platoons against v2v attacks,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Replace: Real-time security assurance in vehicular platoons against v2v attacks,

Reference 16

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Observation 4ce4d91b-704e-4795-aa5c-c7005abd0840 · outbound

This paper cites Redem: Real-time detection and mitigation of communication attacks in connected autonomous vehicle applications,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Redem: Real-time detection and mitigation of communication attacks in connected autonomous vehicle applications,

Reference 17

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Observation 13cbf962-d69e-46b6-a4ef-86ad736846bf · outbound

This paper cites Secure platooning control of automated vehicles under cyber attacks,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Secure platooning control of automated vehicles under cyber attacks,

Reference 18

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Observation 07c81bc6-fc13-447d-9410-eb9f43c836be · outbound

This paper cites Deep-learning-based intrusion detection for autonomous vehicle-following systems,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Deep-learning-based intrusion detection for autonomous vehicle-following systems,

Reference 19

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Observation bb971aed-1ed2-4187-be0f-12f4bfc6b063 · outbound

This paper cites An approach to detecting malicious information attacks for platoon safety,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection An approach to detecting malicious information attacks for platoon safety,

Reference 20

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Observation d68f35e4-71d6-498c-a252-1abb1f60df4a · outbound

This paper cites Attention is all you need,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Attention is all you need,

Reference 21

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source=pdf_text observed=2026-08-03T15:51:26.733775Z digest=sha256:5b9a846de3071997506389c80b5f33d0eea4250e0815fc1ca540c8e485d6d123

Observation 8f32b79a-a27a-4eb1-bb23-b648239069c1 · outbound

This paper cites The architectural implications of autonomous driving: Constraints and acceleration,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection The architectural implications of autonomous driving: Constraints and acceleration,

Reference 22

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Observation 90608654-9ac3-4a37-aa69-6059647ae721 · outbound

This paper cites Mobile edge intelligence and computing for the Internet of Vehicles,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Mobile edge intelligence and computing for the Internet of Vehicles,

Reference 23

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source=pdf_text observed=2026-08-03T15:51:27.063459Z digest=sha256:077fe49d3b8d3b64319073e1a2cd3d2670a2b5313bb60ab08d17505d52f6eee7

Observation faf6ae6b-1255-4276-8cc4-b1072043d0a7 · outbound

This paper cites Platoon vulnerability due to network topology and targeted vehicle,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Platoon vulnerability due to network topology and targeted vehicle,

Reference 24

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Observation 5130574e-243d-4eab-8590-ebcc4f09770f · outbound

This paper cites A systematic literature review on distributed machine learning in edge computing,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection A systematic literature review on distributed machine learning in edge computing,

Reference 25

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Observation 87e6575e-82ca-47a6-89d7-afae3b4a8b91 · outbound

This paper cites Machine learning at the network edge: A survey,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Machine learning at the network edge: A survey,

Reference 26

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Observation 9830d178-dc16-4661-8753-52b85d80a9bf · outbound

This paper cites Jamming Detection in IoT Wireless Networks: An Edge-AI based Approach,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Jamming Detection in IoT Wireless Networks: An Edge-AI based Approach,

Reference 27

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source=pdf_text observed=2026-08-03T15:51:27.825975Z digest=sha256:4d0718aad051e02b6949cc5684b285eb2e7fbc9f5c6deddb111995dcf989e6c1

Observation 3e3b672f-9a18-4de1-984f-08bb6d61ff44 · outbound

This paper cites Edge AI-based Radio Frequency Fingerprinting for IoT Networks.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Edge AI-based Radio Frequency Fingerprinting for IoT Networks

Reference 28

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Observation 6d52e217-9254-495f-8589-9d7b676a58e2 · outbound

This paper cites Towards a Lightweight Edge AI-based Radio Frequency Fingerprinting,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Towards a Lightweight Edge AI-based Radio Frequency Fingerprinting,

Reference 29

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Observation cbc8d596-756b-4c32-933d-96a0e754fc1e · outbound

This paper cites Vehicular Communication Systems: Enabling Technologies, Applications, and Future Outlook on Intelligent Trans- portation,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Vehicular Communication Systems: Enabling Technologies, Applications, and Future Outlook on Intelligent Trans- portation,

Reference 30

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Observation d1c08190-07e2-4dc0-bdeb-53cbf815860f · outbound

This paper cites Ieee standard for wireless access in vehicular environments–security services for application and management messages,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Ieee standard for wireless access in vehicular environments–security services for application and management messages,

Reference 31

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Observation 03c20bde-f33d-41ad-8c0b-3a90f7dde7d4 · outbound

This paper cites Secmace+: Upscaling pseudonymous authentication for large mobile systems,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Secmace+: Upscaling pseudonymous authentication for large mobile systems,

Reference 32

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Observation 90f1261a-958c-4759-925c-6e5c2b333618 · outbound

This paper cites Securing Vehicular Communications-Assumptions, Requirements, and Principles,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Securing Vehicular Communications-Assumptions, Requirements, and Principles,

Reference 33

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Observation 9635ca0b-cd9d-4e60-969d-15ca30f04973 · outbound

This paper cites A Formal Security Assessment Framework for Cooperative Adaptive Cruise Control,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection A Formal Security Assessment Framework for Cooperative Adaptive Cruise Control,

Reference 34

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Observation 1d6d3b94-9aee-4255-b9d1-eb5d836f8d98 · outbound

This paper cites IEEE 802.11 p and Visible Light Hybrid Communication Based Secure Autonomous Platoon,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection IEEE 802.11 p and Visible Light Hybrid Communication Based Secure Autonomous Platoon,

Reference 35

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Observation 5c807658-f38f-435f-9191-006681c88b0e · outbound

This paper cites Hyperband: A novel bandit-based approach to hyperparameter optimization,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Hyperband: A novel bandit-based approach to hyperparameter optimization,

Reference 36

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Observation 1f6907cd-fe16-4cbf-9b19-05786f87ec34 · outbound

This paper cites Reevaluating the potential of a vanilla transformer encoder for unsupervised time series anomaly detection in sensor applications,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Reevaluating the potential of a vanilla transformer encoder for unsupervised time series anomaly detection in sensor applications,

Reference 37

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Observation a618b533-c1c5-4f2f-94f6-156d4fb2e631 · outbound

This paper cites Hyperparameter tuning for trans- former models [online],.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Hyperparameter tuning for trans- former models [online],

Reference 38

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Observation be9332dd-a5ce-472f-af69-62e5908c64ba · outbound

This paper cites A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks,

Reference 39

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Observation 0a3582ac-8ec2-4d7c-95dd-61d8b5eeef0c · outbound

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

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks,

Reference 40

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Observation 5ecd921e-8d38-483a-99de-456484e182a2 · outbound

This paper cites Veremi: A dataset for comparable evaluation of mis- behavior detection in vanets,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Veremi: A dataset for comparable evaluation of mis- behavior detection in vanets,

Reference 41

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source=pdf_text observed=2026-08-03T15:51:29.438019Z digest=sha256:907289218b9b2a748555c20268b8f56b37d3d2a2699c14d183260d42c7f06b3a

Observation 4014afb6-39ca-41c3-b2cd-9695edfe787e · outbound

This paper cites Securing the internet of vehicles: A deep learning-based classification framework,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Securing the internet of vehicles: A deep learning-based classification framework,

Reference 42

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Observation 168d8333-a51b-4ed1-a86a-ed1178428b96 · outbound

This paper cites Simulation framework for misbehavior detection in vehicular networks,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Simulation framework for misbehavior detection in vehicular networks,

Reference 43

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source=pdf_text observed=2026-08-03T15:51:29.442573Z digest=sha256:dccc5c87bb5bde69064d1f65a1bb45138583964485c3bc2523f691cb70edd4c4

Observation 0b713e48-81e2-4c80-9ff4-60de7d18c3cc · outbound

This paper cites A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems,

Reference 44

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source=pdf_text observed=2026-08-03T15:51:29.445201Z digest=sha256:0f59830b29bfc636e1a40393e02e8d1543c611f9d11dae3b0ac78237b485beaa

Observation ee6e703c-3324-40ef-b6e9-5557cfea7be4 · outbound

This paper cites Physical layer plausibility checks for misbehavior detection in V2X networks,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Physical layer plausibility checks for misbehavior detection in V2X networks,

Reference 45

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source=pdf_text observed=2026-08-03T15:51:29.447517Z digest=sha256:6fddd92ce17bdf11d42d5d1a4d2ac189f677bb36fd351d84aa5c5a77a188f677

Observation 80c0edf8-7eaf-4b6a-9f36-9bc1ac19c6f1 · outbound

This paper cites A deep learning-based integrated algorithm for misbehavior detection system in V ANETs,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection A deep learning-based integrated algorithm for misbehavior detection system in V ANETs,

Reference 46

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source=pdf_text observed=2026-08-03T15:51:29.450079Z digest=sha256:9a84cc498f80341257dacda253e675f4049b5c210e3f5cd1c70a27f68f79b3a0

Observation fe44a761-1a26-40a3-baa6-c62b9d0f80fd · outbound

This paper cites Misbehavior Detection for Position Falsification Attacks in V ANETs Using Machine Learning,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Misbehavior Detection for Position Falsification Attacks in V ANETs Using Machine Learning,

Reference 47

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source=pdf_text observed=2026-08-03T15:51:29.452474Z digest=sha256:1b1889070d47ce3a1fff1251318e6c9f64febbfde46ed70ce45a4f81c890549e

Observation 6cd41e1b-4e6e-4604-bb6d-5b575f64cd28 · outbound

This paper cites Federated learning-based mis- behavior classification system for V ANET intrusion detection,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Federated learning-based mis- behavior classification system for V ANET intrusion detection,

Reference 48

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source=pdf_text observed=2026-08-03T15:51:29.455467Z digest=sha256:1fc350c65c1b0565d56318fb844c88c8f2ef18562a061cfc426da4ed30c72e97

Observation b2146079-134e-4448-b7fa-cad03f01b0ec · outbound

This paper cites Machine learning and reputation based misbehavior detection in vehicular communication networks,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Machine learning and reputation based misbehavior detection in vehicular communication networks,

Reference 49

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source=pdf_text observed=2026-08-03T15:51:29.458299Z digest=sha256:7c565ed4bb95f1574c061e7f4d152e65998a6cf0df2514641bfd6642bd45f555

Observation 1685e85d-8863-4240-9095-3523384d46a7 · outbound

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

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Intrusion detection system using deep neural network for in-vehicle network security,

Reference 50

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source=pdf_text observed=2026-08-03T15:51:29.460724Z digest=sha256:bcbfc620a51c4b2b0e09b67bdbe519040fa721c3a7f67ba85883f63d2aa94364

Observation 1425f74d-9ecd-403a-aaf1-27b965e7a809 · outbound

This paper cites Privacy preserving misbehavior detection in IoV using federated machine learning,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Privacy preserving misbehavior detection in IoV using federated machine learning,

Reference 51

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source=pdf_text observed=2026-08-03T15:51:29.463625Z digest=sha256:5176ecf141c32961a3daa794480e8233abf42f4fdecd7818110a69981df7b954

Observation a5db0efe-86ff-42f3-93ea-7318f38b8f7d · outbound

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

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection In-vehicle network intrusion detection using deep convolutional neural network,

Reference 52

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source=pdf_text observed=2026-08-03T15:51:29.466410Z digest=sha256:03071238345a5b7ec5555d7a8e095d940ea9a6f63aeb88698c6f16e8b9ef7996

Observation 98e3688a-3d00-4e3d-ae39-1bcf1c21fef7 · outbound

This paper cites Deep neural networks for securing iot enabled vehicular ad-hoc networks,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Deep neural networks for securing iot enabled vehicular ad-hoc networks,

Reference 53

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source=pdf_text observed=2026-08-03T15:51:29.468876Z digest=sha256:4c831ca0ba02f23b073758fd48be79a69a5a93a4806ff8d2f1c63f387f01d704

Observation 2dd493a0-2478-4dd7-bf07-0e5da7d695d9 · outbound

This paper cites CANnolo: An anomaly detection system based on LSTM autoencoders for controller area network,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection CANnolo: An anomaly detection system based on LSTM autoencoders for controller area network,

Reference 54

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source=pdf_text observed=2026-08-03T15:51:29.471338Z digest=sha256:d8dd0063b92f568a31a3a8dbfcbc7f4972d230f648f7c4ac8ca6b1cf4293c7d5

Observation 96aab2ee-4fbf-4634-a24b-0e1d44e93a24 · outbound

This paper cites Misbehavior Detection using Machine Learn- ing in Vehicular Communication Networks,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Misbehavior Detection using Machine Learn- ing in Vehicular Communication Networks,

Reference 55

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source=pdf_text observed=2026-08-03T15:51:29.473973Z digest=sha256:70a9006226a57157ede5fa5a25ab2682517959d763602c8fc1b2d481ee99e10d

Observation ca1b3955-d15d-4f88-8d17-62824f9f47da · outbound

This paper cites CANintelliIDS: Detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection CANintelliIDS: Detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU,

Reference 56

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source=pdf_text observed=2026-08-03T15:51:29.476686Z digest=sha256:084610e04ac370a980294ade1c92b53f9dcf2a13ebbceff4d7961ff69b7bf896

Observation d92c924d-8751-4e19-888a-25f80210fd0e · outbound

This paper cites 2-step prediction for detecting attacker in vehicle to vehicle communication,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection 2-step prediction for detecting attacker in vehicle to vehicle communication,

Reference 57

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source=pdf_text observed=2026-08-03T15:51:29.479554Z digest=sha256:16a588ec305793b3c8de7008fa7eb10ae41d6c2cc5b3cd04c59eda28fe7c45d6

Observation 23164835-c4fb-4f50-b559-66265159a74c · outbound

This paper cites Anomaly detection for in-vehicle network using CNN-LSTM with attention mechanism,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Anomaly detection for in-vehicle network using CNN-LSTM with attention mechanism,

Reference 58

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source=pdf_text observed=2026-08-03T15:51:29.482569Z digest=sha256:5c14f868f4eacf5a99dd6fefab12a7f16fb1206a01417abc8a1cf4f8841f750e

Observation ff350cf8-f493-4eba-8780-b9b4b7a2e279 · outbound

This paper cites Mobile edge assisted literal multi-dimensional anomaly detection of in-vehicle network using LSTM,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Mobile edge assisted literal multi-dimensional anomaly detection of in-vehicle network using LSTM,

Reference 59

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source=pdf_text observed=2026-08-03T15:51:29.485126Z digest=sha256:9575e80fba1b4ea16680a28f13c3ba96a0c5290f20e2132d2bd3ecdd7cf2ad28

Observation f7eef875-e92a-43e7-876d-49f384feab18 · outbound

This paper cites A data-driven misbehavior detection system for connected autonomous vehicles,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection A data-driven misbehavior detection system for connected autonomous vehicles,

Reference 60

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doi, observed 2026-08-03T15:53:29.231765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-03T15:51:29.488081Z digest=sha256:218ba915fad206f34d3a4fcdf8ab24600541529935f39f70d6620e90be1d0503

Observation 12860138-0df9-454b-b5a1-4c5fb42a0184 · outbound

This paper cites Survey on misbehavior detection in cooperative in- telligent transportation systems,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Survey on misbehavior detection in cooperative in- telligent transportation systems,

Reference 61

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source=pdf_text observed=2026-08-03T15:51:29.490453Z digest=sha256:eb7fc20fd8293241d6f588bd712e57d7d258b8dfd415c1f205fdccce6b4daaf6

Observation b64a2f25-adaa-46ff-96ae-72268ee43e89 · outbound

This paper cites VeReMi extension: A dataset for comparable evaluation of misbehavior detection in V ANETs,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection VeReMi extension: A dataset for comparable evaluation of misbehavior detection in V ANETs,

Reference 62

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source=pdf_text observed=2026-08-03T15:51:29.492801Z digest=sha256:2cf4a1fb9d4d51387c41dbcd744a03b9d7f7a160cafd9a19cde60b18dc89fade

Observation 413cec81-c859-41db-8df3-2f0fbd68ab98 · outbound

This paper cites A machine-learning-based data-centric misbe- havior detection model for Internet of Vehicles,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection A machine-learning-based data-centric misbe- havior detection model for Internet of Vehicles,

Reference 63

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source=pdf_text observed=2026-08-03T15:51:29.495781Z digest=sha256:dda0bdfc35d838b586ff346d93dc1d9bd9376c40f486459b4c9627abafd06dda

Observation 93bd3dfc-81f8-489d-9a68-81865a00c334 · outbound

This paper cites Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Reference 64

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source=pdf_text observed=2026-08-03T15:51:29.498633Z digest=sha256:20e40c5e0d7b354751c7901698a7223e09119dc2aeea3bd7ad5879b99380f14d

Observation d56e99e7-5fa4-4566-be74-3dd33f8f0db0 · outbound

This paper cites TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

Reference 65

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source=pdf_text observed=2026-08-03T15:51:29.501430Z digest=sha256:0baad284c4124479bb3657dc43322873353dcd34c4d2ff51bf29afbfd413e2ab

Observation 8e9426dc-f682-4817-8dc3-04a913632bff · outbound

This paper cites AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme

Reference 66

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source=pdf_text observed=2026-08-03T15:51:29.504155Z digest=sha256:da9a2a2753778eea4eb284b5bec58b05ce18bff8e5d946ae822b6db2c772ad2c

Observation e0e3882c-6cd4-4f1f-bb54-a228a0ce28e9 · outbound

This paper cites A transformer-based network intrusion detection approach for cloud security,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection A transformer-based network intrusion detection approach for cloud security,

Reference 67

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source=pdf_text observed=2026-08-03T15:51:29.506826Z digest=sha256:fab3bb70a76aceea8aeb75f9205537f2659939a061fdcadd3661caf6c4b37a0e

Observation f9e397a5-c94d-4920-979c-af2822ebbdc7 · outbound

This paper cites Edge intelligence in intelligent transportation systems: A survey,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Edge intelligence in intelligent transportation systems: A survey,

Reference 68

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source=pdf_text observed=2026-08-03T15:51:29.509238Z digest=sha256:eb886b02ba6117e043edfe57bfdf84b588031e4d2d1ab311a3ac16e90022af3e

Observation eda2256b-3480-461a-bce9-71eec0d93dca · outbound

This paper cites Robustifying the deployment of tinyML models for autonomous mini-vehicles,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Robustifying the deployment of tinyML models for autonomous mini-vehicles,

Reference 69

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source=pdf_text observed=2026-08-03T15:51:29.511430Z digest=sha256:5c505e888e05e7f60eb0c65d4be35e82f90187331e8d1d7b38f57fd9b9e0ac0d

Observation 5e8496fb-dcdf-4d71-9289-125023ab1664 · outbound

This paper cites TinyML: Enabling of inference deep learning models on ultra-low-power IoT edge devices for AI applications,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection TinyML: Enabling of inference deep learning models on ultra-low-power IoT edge devices for AI applications,

Reference 70

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source=pdf_text observed=2026-08-03T15:51:29.513691Z digest=sha256:e2b48e72fe186e4508dfbbe42bf8c2e220a35b87b96797cc94aa625975dde8cd

Observation 9953b4f0-6668-42ec-b62e-97c07c7749ae · outbound

This paper cites Accelerating DNN inference with reliability guarantee in vehicular edge computing,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Accelerating DNN inference with reliability guarantee in vehicular edge computing,

Reference 71

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source=pdf_text observed=2026-08-03T15:51:29.516270Z digest=sha256:29f27aefca58a5e160dfbffb5b7a28f8d6e56ad99832c99da825b9f7f51401e5

Observation 9cb4540b-a72f-413d-ab7a-266289a5964d · outbound

This paper cites DNN inference acceleration based on adaptive task partitioning and offloading in embedded VEC,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection DNN inference acceleration based on adaptive task partitioning and offloading in embedded VEC,

Reference 72

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:51:29.518805Z digest=sha256:3fe5372f1e192a47d3ef998a012e9bb7d59c3c8afa3ce1f933d857a591edca4f

Observation 29e6b6b8-5845-48b9-8055-2219b8d4bd24 · outbound

This paper cites Embedded federated learning for V ANET environments,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Embedded federated learning for V ANET environments,

Reference 73

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source=pdf_text observed=2026-08-03T15:51:29.521518Z digest=sha256:2526163898178b06403369d4a0d1ec7f4ffd5af7a2bba512e74866f79f21cbe1

Observation 0f4ecbcd-1471-40f9-b90c-081ccb73dd9e · outbound

This paper cites Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering,

Reference 74

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source=pdf_text observed=2026-08-03T15:51:29.524539Z digest=sha256:4c2f731256d637dd0954658be1d24b6155337807470bd17a3ffd751f5590716d

Observation 86d6aa0c-7b31-41c5-b334-d4440168090a · outbound

This paper cites Resource constrained vehicular edge federated learning with highly mobile connected vehicles,.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Resource constrained vehicular edge federated learning with highly mobile connected vehicles,

Reference 75

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PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks cites this paper.

PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection

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