Paper Citation Record · LEDGER

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2501.05387.

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

pith.paper-citation-record.v1
2501.05387 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:19:33.189652Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:10.793823Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:42:48.521745Z

Reference resolution

36 of 36 outbound references displayed

verified exact9
verified fuzzy19
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f1f26d4-bea2-4e5a-b429-cc5955fba924 · outbound

This paper cites Identifying Encrypted Malware Traffic with Con- textual Flow Data,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Identifying Encrypted Malware Traffic with Con- textual Flow Data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.225323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70dfa9f7-2327-45df-b971-f1c1e74fb9ba · outbound

This paper cites Limitless HTTP in an HTTPS World: Inferring the Semantics of the HTTPS Protocol without Decryption,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Limitless HTTP in an HTTPS World: Inferring the Semantics of the HTTPS Protocol without Decryption,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.213943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1f88bcc1-a221-4e89-acd5-11a877d9e8a2 · outbound

This paper cites TLS Beyond the Browser: Combining End Host and Network Data to Understand Application Behavior,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic TLS Beyond the Browser: Combining End Host and Network Data to Understand Application Behavior,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.202197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9d748c4-68a4-483e-9ff0-2f3b41ca16be · outbound

This paper cites Feature Analysis of Encrypted Malicious Traffic.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Feature Analysis of Encrypted Malicious Traffic

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:19:33.959008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3e0a3976-8cdd-4763-a3f8-82fdc6258af6 · outbound

This paper cites A Distance-Based Method for Building an Encrypted Malware Traffic Identification Framework,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic A Distance-Based Method for Building an Encrypted Malware Traffic Identification Framework,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.189872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72c24f3d-04ac-40e0-bd2d-9f0dcea30f8b · outbound

This paper cites Feature-Selection- Based Ransomware Detection with Machine Learning of Data Analysis,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Feature-Selection- Based Ransomware Detection with Machine Learning of Data Analysis,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.175558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec8a5fae-0967-4b93-a469-ee0ad09efc1f · outbound

This paper cites Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:19:33.930338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d801c66e-11e1-4db6-ad9c-b1321ad69872 · outbound

This paper cites Classification of Encrypted Traffic with Second-Order Markov Chains and Application Attribute Bigrams,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Classification of Encrypted Traffic with Second-Order Markov Chains and Application Attribute Bigrams,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.162447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0e743e76-087a-4661-8fd9-4e8102a14472 · outbound

This paper cites SSLMaliciousTraffic Detection Based On Multi-view Features,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic SSLMaliciousTraffic Detection Based On Multi-view Features,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.147878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2abe53ad-40c7-407e-aa39-d5dddfc39a81 · outbound

This paper cites ME-Box: A Reliable Method to Detect Malicious Encrypted Traffic,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic ME-Box: A Reliable Method to Detect Malicious Encrypted Traffic,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.134859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c03e721-c20c-4d96-ac6c-43489d7e64a9 · outbound

This paper cites A Novel Malware En- crypted Traffic Detection Framework Based On Ensemble Learning,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic A Novel Malware En- crypted Traffic Detection Framework Based On Ensemble Learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.122513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f82dfb03-e7f1-4401-bb50-9317550663c8 · outbound

This paper cites Light-weightUnsupervisedAnomalyDetec- tion for Encrypted Malware Traffic,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Light-weightUnsupervisedAnomalyDetec- tion for Encrypted Malware Traffic,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.109691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 725ff53d-46d6-49d1-8714-d0878904ffe9 · outbound

This paper cites Multilayer Ran- somware Detection Using Grouped Registry Key Operations, File Entropy and File Signature Monitoring,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Multilayer Ran- somware Detection Using Grouped Registry Key Operations, File Entropy and File Signature Monitoring,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.097943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8cc0eea7-82cd-41c3-96ed-21f1bb880b0c · outbound

This paper cites Malware-Traffic-Analysis,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Malware-Traffic-Analysis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.082979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e4a00d5-a50f-46d0-908f-9fa7982ac4d9 · outbound

This paper cites Stratosphere Laboratory Datasets,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Stratosphere Laboratory Datasets,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.070791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 96564580-675e-41c9-b2e2-c8b381f5a675 · outbound

This paper cites McGrew, B.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic McGrew, B

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.058889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f3c6542-d8d3-46e8-9636-01774492d08b · outbound

This paper cites Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.044429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ab1381d-ac79-4669-bce5-090c1262a2b0 · outbound

This paper cites Ensemble Learning for Encrypted Malware Detection and Classification,.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Ensemble Learning for Encrypted Malware Detection and Classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.032594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a3b8dde-3a0e-4c5e-828f-271551be1221 · outbound

This paper cites In: Yang, X.-S., Sherratt, R.S., Dey, N., Joshi, A.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic In: Yang, X.-S., Sherratt, R.S., Dey, N., Joshi, A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.019228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 008e43c6-d3ce-4f35-ad72-d1fe380b88a4 · outbound

This paper cites PLoS One 15(5), 1 (2020).

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic PLoS One 15(5), 1 (2020)

Reference 20

Resolution: verified exact; doi, observed 2026-08-10T21:19:33.314459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c258efeb-0dc0-4e12-acc0-bc683d4a6b6d · outbound

This paper cites Insurance: Mathematics and Economics 101, 140-162 (2021).

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Insurance: Mathematics and Economics 101, 140-162 (2021)

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T21:19:33.299580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88d7384f-4e1b-42d7-a98a-8f5177de1f82 · outbound

This paper cites International Journal of Computer Applications in Technology 62(3), 240-245 (2020).

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic International Journal of Computer Applications in Technology 62(3), 240-245 (2020)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:19:33.126798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eebd837-81d3-4223-91a3-6ee39471e3be · outbound

This paper cites IEEE Communications Magazine 60(2), 25-31 (2022).

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic IEEE Communications Magazine 60(2), 25-31 (2022)

Reference 23

Resolution: verified exact; doi, observed 2026-08-10T21:19:33.283581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4334526f-e0ce-4d9e-b8e8-67cd01366949 · outbound

This paper cites In: Advances in Neural Information Processing Systems 30 (NIPS 2017), pp.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic In: Advances in Neural Information Processing Systems 30 (NIPS 2017), pp

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:34.002922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5c877f8f-a099-4c74-a162-7a16cb082c5d · outbound

This paper cites Explainable AI for Trees: From Local Explanations to Global Understanding.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Explainable AI for Trees: From Local Explanations to Global Understanding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:19:33.145010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e3f020e-d9ff-4b07-ab47-655df1bfb502 · outbound

This paper cites and Cao R.-F.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic and Cao R.-F

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:19:33.150593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f139f113-03c7-4c3c-aba2-c402b361ccdb · outbound

This paper cites and Wu Z.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic and Wu Z

Reference 27

Resolution: verified exact; doi, observed 2026-08-10T21:19:33.264139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c07c1d7b-0be8-4b59-bd6a-c9e4cfc6a7a9 · outbound

This paper cites and Holodnak J.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic and Holodnak J

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:19:33.160076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3523fc9f-cbf6-458a-b5b6-3a11abaf7ab9 · outbound

This paper cites Computers & Se- curity (2023).

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Computers & Se- curity (2023)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:19:33.164796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09de875e-72d2-40ea-b473-5b80808c572b · outbound

This paper cites Expert Systems with Applications 241 (2024).

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Expert Systems with Applications 241 (2024)

Reference 30

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T21:19:33.562219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3b1332a-b476-4875-9de3-1ed826b3e7d8 · outbound

This paper cites and Algarni, A.: Ransomware Detection Using Machine Learning: A Survey.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic and Algarni, A.: Ransomware Detection Using Machine Learning: A Survey

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:19:33.174428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44ed0e85-ac32-41b9-857c-20527d125988 · outbound

This paper cites Master’s thesis, Imperial College, London, UK (2019).

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Master’s thesis, Imperial College, London, UK (2019)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:33.975079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e0a0f342-88d8-4948-9f44-682f6c9245af · outbound

This paper cites Technometrics 40, 78-78 (1975).

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Technometrics 40, 78-78 (1975)

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-10T21:19:33.429793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8024e94a-4539-46da-9c33-7308e229d856 · outbound

This paper cites and Rao, R.S:.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic and Rao, R.S:

Reference 34

Resolution: verified exact; doi, observed 2026-08-10T21:19:33.228624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2bfcbefa-f5d0-464a-9998-4c75bcbd13c1 · outbound

This paper cites https://doi.org/10.1007/978-981-32-9343-4_10.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic https://doi.org/10.1007/978-981-32-9343-4_10

Reference 115

Resolution: verified exact; doi, observed 2026-08-10T21:19:33.326787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2df7f5cf-7389-4ad3-8e27-0d1ce13460f6 · outbound

This paper cites an unresolved cited work.

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic Unresolved cited work

Reference 4777

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:19:33.988869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 3e1dbc80-c328-432a-bc76-13d42f1a1ba5 · inbound

Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models cites this paper.

Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:10.793823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b70cc133-d1a0-4e3e-b9e2-950bec08879a · inbound

Anomaly detection in network flows using unsupervised online machine learning cites this paper.

Anomaly detection in network flows using unsupervised online machine learning Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic

Reference 56

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T12:42:48.525532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.