Performance comparison of timing-based anomaly detectors for Controller Area Network: a reproducible study

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Cyber-Physical Systems Pub Date : 2023-06-15 DOI:10.1145/3604913
Francesco Pollicino, Dario Stabili, Mirco Marchetti
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引用次数: 0

Abstract

This work presents an experimental evaluation of the detection performance of eight different algorithms for anomaly detection on the Controller Area Network (CAN) bus of modern vehicles based on the analysis of the timing or frequency of CAN messages. This work solves the current limitations of related scientific literature, that is based on private dataset, lacks of open implementations, and detailed description of the detection algorithms. These drawback prevent the reproducibility of published results, and makes it impossible to compare a novel proposal against related work, thus hindering the advancement of science. This paper solves these issues by publicly releasing implementations, labeled datasets and by describing an unbiased experimental comparisons.
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控制器局域网中基于定时的异常检测器的性能比较:一项可重复的研究
本工作基于对CAN消息的时间或频率的分析,对现代车辆控制器局域网(CAN)总线上八种不同的异常检测算法的检测性能进行了实验评估。这项工作解决了相关科学文献目前的局限性,即基于私人数据集,缺乏开放的实现,以及对检测算法的详细描述。这些缺点阻碍了已发表结果的再现性,并使其无法将新的提案与相关工作进行比较,从而阻碍了科学的进步。本文通过公开发布实现、标记数据集和描述无偏的实验比较来解决这些问题。
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来源期刊
ACM Transactions on Cyber-Physical Systems
ACM Transactions on Cyber-Physical Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.70
自引率
4.30%
发文量
40
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