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Detection of Automotive CAN Cyber-Attacks by Identifying Packet Timing Anomalies in Time Windows.

, , , and . DSN Workshops, page 231-238. IEEE Computer Society, (2018)

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Using a one-class compound classifier to detect in-vehicle network attacks., , and . GECCO (Companion), page 1926-1929. ACM, (2018)Detection of Automotive CAN Cyber-Attacks by Identifying Packet Timing Anomalies in Time Windows., , , and . DSN Workshops, page 231-238. IEEE Computer Society, (2018)A LIM-homeodomain combinatorial code for motor-neuron pathway selection, , , and . Nature, 397 (6714): 76-80 (January 1997)Adding Cyberattacks To An Industry-Leading CAN Simulator., , and . QRS Companion, page 9-16. IEEE, (2019)McMatcher: A symbolic representation for matching random BLE MAC addresses., , , and . ICCE, page 1-6. IEEE, (2024)Using internal context to detect automotive controller area network attacks., , and . Comput. Electr. Eng., (2021)Drivers and barriers for secure hardware adoption across ecosystem stakeholders., , and . J. Cybersecur., (2022)A Real-Time In-Vehicle Network Testbed for Machine Learning-Based IDS Training and Validation., , , , and . AI-Cybersec@SGAI, volume 3125 of CEUR Workshop Proceedings, page 53-68. CEUR-WS.org, (2021)Understanding the Messages Conveyed by Automated Vehicles., , , , , , , , and . AutomotiveUI, page 134-143. ACM, (2019)An Objective Assessment of the Utility of a Driving Simulator for Low Mu Testing., , , , , , , and . CoRR, (2018)