{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T09:21:04Z","timestamp":1778145664753,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T00:00:00Z","timestamp":1717545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,5]]},"DOI":"10.1145\/3655693.3655696","type":"proceedings-article","created":{"date-parts":[[2024,6,4]],"date-time":"2024-06-04T18:22:10Z","timestamp":1717525330000},"page":"19-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["can-sleuth: Investigating and Evaluating Automotive Intrusion Detection Datasets"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6673-6163","authenticated-orcid":false,"given":"Brooke","family":"Kidmose","sequence":"first","affiliation":[{"name":"Technical University of Denmark, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4384-5786","authenticated-orcid":false,"given":"Weizhi","family":"Meng","sequence":"additional","affiliation":[{"name":"Technical University of Denmark, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,5]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Doan and Subramaniam Ganesan","author":"P.","year":"2017","unstructured":"Tri\u00a0P. Doan and Subramaniam Ganesan. 2017. CAN Crypto FPGA Chip to Secure Data Transmitted Through CAN FD Bus Using AES-128 and SHA-1 Algorithms with A Symmetric Key.SAE International (2017). https:\/\/saemobilus.sae.org\/content\/2017-01-1612\/"},{"key":"e_1_3_2_2_2_1","volume-title":"A Pedagogical Explanation","author":"Gholamy Afshin","year":"2018","unstructured":"Afshin Gholamy, Vladik Kreinovich, and Olga Kosheleva. 2018. Why 70\/30 or 80\/20 Relation Between Training and Testing Sets: A Pedagogical Explanation.University of Texas at El Paso (2018). https:\/\/scholarworks.utep.edu\/cs_techrep\/1209\/"},{"key":"e_1_3_2_2_3_1","volume-title":"Anomaly intrusion detection method for vehicular networks based on survival analysis.Vehicular Communications 14","author":"Han Mee\u00a0Lan","year":"2018","unstructured":"Mee\u00a0Lan Han, Byung\u00a0Il Kwak, and Huy\u00a0Kang Kim. 2018. Anomaly intrusion detection method for vehicular networks based on survival analysis.Vehicular Communications 14 (2018), 52 \u2013 63. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2214209618301189"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2982544"},{"key":"e_1_3_2_2_5_1","volume-title":"Improving CAN bus security by assigning dynamic arbitration IDs.Journal of Transportation Security 13","author":"Islam Riadul","year":"2020","unstructured":"Riadul Islam and Rafi Ud\u00a0Daula Refat. 2020. Improving CAN bus security by assigning dynamic arbitration IDs.Journal of Transportation Security 13 (2020), 19 \u2013 31. https:\/\/link.springer.com\/article\/10.1007\/s12198-020-00208-0"},{"key":"e_1_3_2_2_6_1","volume-title":"can-train-and-test.Bitbucket","author":"Lampe Brooke","year":"2023","unstructured":"Brooke Lampe. 2023. can-train-and-test.Bitbucket (2023). https:\/\/bitbucket.org\/brooke-lampe\/can-train-and-test\/src\/master\/"},{"key":"e_1_3_2_2_7_1","volume-title":"can-train-and-test-v1.5.Bitbucket","author":"Lampe Brooke","year":"2023","unstructured":"Brooke Lampe. 2023. can-train-and-test-v1.5.Bitbucket (2023). https:\/\/bitbucket.org\/brooke-lampe\/can-train-and-test-v1.5\/src\/master\/"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2023-Fall60731.2023.10333756"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001536"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627050.3627059"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3309864"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119771"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2024.103777"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.11583\/DTU.24805533"},{"key":"e_1_3_2_2_15_1","volume-title":"Embedded Security in Cars","author":"Lemke Kerstin","unstructured":"Kerstin Lemke, Christof Paar, and Marko Wolf. 2006. Embedded Security in Cars.Springer-Verlag. https:\/\/link.springer.com\/book\/10.1007\/3-540-28428-1"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-019-1484-3"},{"key":"e_1_3_2_2_17_1","volume-title":"Anomaly detection of CAN bus messages through analysis of ID sequences.2017 IEEE Intelligent Vehicles Symposium (IV)","author":"Marchetti Mirco","year":"2017","unstructured":"Mirco Marchetti and Dario Stabili. 2017. Anomaly detection of CAN bus messages through analysis of ID sequences.2017 IEEE Intelligent Vehicles Symposium (IV) (2017), 1577 \u2013 1583. https:\/\/ieeexplore.ieee.org\/document\/7995934"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3570954"},{"key":"e_1_3_2_2_19_1","volume-title":"GIDS: GAN based Intrusion Detection System for In-Vehicle Network.2018 16th Annual Conference on Privacy, Security and Trust (PST)","author":"Seo Eunbi","year":"2018","unstructured":"Eunbi Seo, Hyun\u00a0Min Song, and Huy\u00a0Kang Kim. 2018. GIDS: GAN based Intrusion Detection System for In-Vehicle Network.2018 16th Annual Conference on Privacy, Security and Trust (PST) (2018). https:\/\/ieeexplore.ieee.org\/document\/8514157"},{"key":"e_1_3_2_2_20_1","volume-title":"In-vehicle network intrusion detection using deep convolutional neural network.Vehicular Communications 21","author":"Song Hyun\u00a0Min","year":"2020","unstructured":"Hyun\u00a0Min Song, Jiyoung Woo, and Huy\u00a0Kang Kim. 2020. In-vehicle network intrusion detection using deep convolutional neural network.Vehicular Communications 21 (2020), 100198. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2214209619302451"},{"key":"e_1_3_2_2_21_1","volume-title":"Security Authentication System for In-Vehicle Network.Sei Technical Review","author":"Ueda Hiroshi","year":"2015","unstructured":"Hiroshi Ueda, Ryo Kurachi, Hiroaki Takada, Tomohiro Mizutani, Masayuki Inoue, and Satoshi Horihata. 2015. Security Authentication System for In-Vehicle Network.Sei Technical Review (2015). https:\/\/global-sei.com\/technology\/tr\/bn81\/pdf\/81-01.pdf"},{"key":"e_1_3_2_2_22_1","volume-title":"An Approach to using Honeypots in In-Vehicle Networks.2008 IEEE 68th Vehicular Technology Conference","author":"Verendel Vilhelm","year":"2008","unstructured":"Vilhelm Verendel, Dennis\u00a0K. Nilsson, Ulf\u00a0E. Larson, and Erland Jonsson. 2008. An Approach to using Honeypots in In-Vehicle Networks.2008 IEEE 68th Vehicular Technology Conference (2008). https:\/\/ieeexplore.ieee.org\/document\/4657092"},{"key":"e_1_3_2_2_23_1","volume-title":"ROAD: The Real ORNL Automotive Dynamometer Controller Area Network Intrusion Detection Dataset (with a comprehensive CAN IDS dataset survey & guide).arXiv","author":"Verma E.","year":"2020","unstructured":"Miki\u00a0E. Verma, Michael\u00a0D. Iannacone, Robert\u00a0A. Bridges, Samuel\u00a0C. Hollifield, Bill Kay, and Frank\u00a0L. Combs. 2020. ROAD: The Real ORNL Automotive Dynamometer Controller Area Network Intrusion Detection Dataset (with a comprehensive CAN IDS dataset survey & guide).arXiv (2020). https:\/\/arxiv.org\/abs\/2012.14600v1"},{"key":"e_1_3_2_2_24_1","volume-title":"Addressing the Lack of Comparability & Testing in CAN Intrusion Detection Research: A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset","author":"Verma E.","year":"2022","unstructured":"Miki\u00a0E. Verma, Michael\u00a0D. Iannacone, Robert\u00a0A. Bridges, Samuel\u00a0C. Hollifield, Pablo Moriano, Bill Kay, and Frank\u00a0L. Combs. 2022. Addressing the Lack of Comparability & Testing in CAN Intrusion Detection Research: A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset.IEEE Transactions on Vehicular Technology (2022). https:\/\/arxiv.org\/pdf\/2012.14600v2.pdf"}],"event":{"name":"EICC 2024: European Interdisciplinary Cybersecurity Conference","location":"Xanthi Greece","acronym":"EICC 2024"},"container-title":["European Interdisciplinary Cybersecurity Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3655693.3655696","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3655693.3655696","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T16:19:55Z","timestamp":1756484395000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3655693.3655696"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,5]]},"references-count":24,"alternative-id":["10.1145\/3655693.3655696","10.1145\/3655693"],"URL":"https:\/\/doi.org\/10.1145\/3655693.3655696","relation":{},"subject":[],"published":{"date-parts":[[2024,6,5]]},"assertion":[{"value":"2024-06-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}