… with the traditional in-vehiclenetwork defense method, the … defense capability of in-vehicle network against replay attack. … Intrusiondetection system using deep neural network for …
李飞, 王超 - Hans Journal of Data Mining, 2017 - hanspub.org
… technology to improve the traditional Apriori algorithm to be applied to the vehicle network intrusiondetection, and finally through the test proves the vehicle networkintrusiondetection. …
… vehicle CAN networkintrusiondetection methods in … in-vehiclenetworkintrusiondetection system. Keywords:intelligent and connected vehicle;network security;in-vehicle CAN network;…
… Abstract:Existing deep learning-based in-vehiclenetworkintrusiondetection … the detection delay and improve the detection effect, a lightweight in-vehiclenetworkintrusiondetection …
… the vehicle CAN network,an intrusiondetection system based on … approach to anomaly detection for in-vehiclenetworks[C]. … An intrusion detec⁃ tion method for securing in-vehicle CAN …
… Analysis of malicious injection attack on CAN data in in-vehiclenetwork based on driving … Using naïve Bayes with AdaBoost to enhance network anomaly intrusiondetection. In: Proc. …
… of in-vehiclenetwork is analyzed through the introduction of the principle and bandwidth demand of several major new in-vehicle … intrusiondetection for in-vehicle CAN-FD networks[J]. …