… technology to improve the traditional Apriori algorithm to be applied to the vehicle network
intrusion detection, and finally through the test proves the vehicle network intrusion detection. …

… with the traditional in-vehicle network defense method, the … defense capability of in-vehicle
network against replay attack. … Intrusion detection system using deep neural network for …

… technology to improve the traditional Apriori algorithm to be applied to the vehicle network
intrusion detection, and finally through the test proves the vehicle network intrusion detection. …

… vehicle CAN network intrusion detection methods in … in-vehicle network intrusion detection
system. Keywords:intelligent and connected vehicle;network security;in-vehicle CAN network;…

… Abstract:Existing deep learning-based in-vehicle network intrusion detection … the detection
delay and improve the detection effect, a lightweight in-vehicle network intrusion detection …

… the vehicle CAN network,an intrusion detection system based on … approach to anomaly
detection for in-vehicle networks[C]. … An intrusion detec⁃ tion method for securing in-vehicle CAN …

… Analysis of malicious injection attack on CAN data in in-vehicle network based on driving …
Using naïve Bayes with AdaBoost to enhance network anomaly intrusion detection. In: Proc. …

… Sliding window optimized information entropy analysis method for intrusion detection on
in-vehicle networks[J]. IEEE Access, 2018(6): 45233-45245. [84] 于赫, 秦贵和, 孙铭会, 等. …

… of in-vehicle network is analyzed through the introduction of the principle and bandwidth
demand of several major new in-vehicle … intrusion detection for in-vehicle CAN-FD networks[J]. …