Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network

By Hyun Min Song, Ha Rang Kim, Huy Kang Kim. International Conference on Information Networking, 2016

368 citations recorded by the source corpus.

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OTIDS: A Novel Intrusion Detection System for In-vehicle Network by Using Remote Frame (2017, methodology): “They detect anomaly using analysis of intervals [18].”
Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities (2020, neutral): “[57] H.”
GIDS: GAN based Intrusion Detection System for In-Vehicle Network (2018, methodology): “proposed a detection model based on time interval analysis of CAN data that is suitable to apply to the in-vehicle because it is lightweight [3].”
Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks (2016, background): “They are identical to some of the simulated attacks presented in previous work [16], [17].”
RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots (2018, background): “A number of works [29]–[31] detect anomaly utilizing the periodicity of robot communication.”
A Survey of Intrusion Detection for In-Vehicle Networks (2020, background): “IVN security researchers have shown that the frequencies will increase when malicious adversaries perform a spoofing or DoS attack by injecting legitimate messages [11], [55].”