A Method for Detecting Abnormality of CAN Bus in Vehicle

作     者：PENG Jing ZHANG Zhihong HE Hong 

作者机构：School of Electrical and Electronic EngineeringTianjin University of TechnologyTianjin Key Laboratory of Complex System Control Theory and Application Transmission and Transmission Department Tianjin Radio and Television Station 

出 版 物：《Instrumentation》 (仪器仪表学报（英文版）)

年 卷 期：2017年第4卷第2期

页      面：28-33页

学科分类：082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程] 

主　　题：Automobile CAN bus Information Security Support Vector Machines Abnormal Detection 

摘      要：With the development of intelligent and netw orking technology in automobile,the malicious attacks against in-vehicle CAN netw orks are increasing day by day,and the problem of information safety in automobile is aggravated. In this regard,this paper analyzes the security loopholes and threats w hich the CAN bus faced,put forw ard a kind of anomaly detection algorithm for vehicle CAN bus. The method uses support vector machine algorithm to distinguish betw een normal message and abnormal message,so as to realize the CAN bus anomaly detection. Theoretical and experimental studies show that this method can effectively detect abnormal packets in the CAN bus w ith a detection rate of over 90%,w hich can effectively resist malicious attacks such as tampering and cheating on the vehicle CAN bus.