Fingerprinting Electronic Control Units for Vehicle Intrusion Detection

By Kyong-Tak Cho, Kang G. Shin. USENIX Security Symposium, 2016

532 citations recorded by the source corpus.

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RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots (2018, background): “Cho et al. proposed two approaches that estimate the subtle clock skews within packets on CAN bus [32] and proﬁle ECUs’ voltages [33] to detect transmitter ECU impersonation.”
Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks (2016, methodology): “Many algorithms measure the distance between candidate n-grams and historical n-grams or other parts of the same sequence, e.g. Keogh’s discord-finding methods [8].”
OTIDS: A Novel Intrusion Detection System for In-vehicle Network by Using Remote Frame (2017, methodology): “Cho and Shin introduced an attacker who can stop messages transmission by controlling the target node and can plant/manipulate an impersonating node [15].”
Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities (2020, background): “For example, CAN messages can be utilized for in-vehicle network intrusion detection in previous studies [56]–[58].”
A Survey of Intrusion Detection for In-Vehicle Networks (2020, background): “, clock-based intrusion detection design [51] and volt-”
Cyber-Physical Systems Security—A Survey (2017, background): “Furthermore, Cho and Shin [25] proposed an anomaly-based IDS that is clock-based such that it measures and utilizes the intervals of periodic messages in order to uniquely identify ECUs.”