基于LSTM网络的车载CAN总线异常检测研究

Research on vehicle bus anomaly detection based on LSTM

随着智能网联汽车的发展,对车载网络的安全研究逐渐成为热点. CAN(控制器局域网络)是目前应用最为广泛的车载网络总线,其安全问题已成为智能网联汽车发展过程中最需要解决的问题.本文针对目前智能网联汽车中采用的车载CAN总线网络,对其通信特性和存在的安全问题进行深入的分析和解剖,首先总结归纳了CAN总线协议特性和和面临的安全威胁;然后提出了基于LSTM(长短期记忆)网络的车载CAN总线异常检测模型.通过实验结果表明,此方法可以有效检测重放攻击和帧伪造.

With the development of intelligent connected cars,the research on the safety of in-vehicle networks has gradually become a hot spot.CAN bus is currently the most widely used in-vehicle network bus.Its safety has become the most important problem to be solved in the development of intelligent connected cars.This paper aims at the in-vehicle CAN bus network used in intelligent connected cars.It analyzes and analyzes its communication characteristics and existing security problems.First,it summarizes the CAN bus protocol characteristics and the security threats.LSTM-based CAN bus anomaly detection model.Experimental results show that this method can effectively detect replay attacks and frame forgery.