智能网联汽车车载网络异常检测技术研究  

Research on Abnormal Detection Technology for Intelligent Connected Vehicles In-vehicle Network

作　　者：王鹏[1,2] 都一博 李玉峰 Wang Peng;Du Yibo;Li Yufeng(Zhongyuan University of Technology,Zhengzhou 450007,China;Purple Mountain Laboratories,Nanjing 210008,China;Shanghai University,Shanghai 200444,China)

机构地区：[1]中原工学院,郑州450007 [2]网络通信与安全紫金山实验室,南京210008 [3]上海大学,上海200444

出　　处：《信息通信技术》2023年第4期39-48,共10页Information and communications Technologies

基　　金：国家自然科学基金(61702547);河南省重大科技专项(221100240100)。

摘　　要：智能网联汽车(Intelligent Connected Vehicle,ICV)是汽车、电子、信息通信等行业深度融合的新型产业形态,网络安全是智能网联汽车面临的关键问题。文章介绍智能网联汽车车端系统的整体架构,指出其面临的主要安全攻击,并着重探讨异常检测技术在智能网联汽车中的应用,包括基于设备指纹、参数监测、信息论、人工智能和混合等方法,最后,指出车载网络异常检测技术未来可能的发展趋势。Intelligent Connected Vehicle(ICV)is a new industrial form that deeply integrates industries such as automobiles,electronics,and information communication.Network security is a key issue faced by ICV.The article introduces the overall architecture of the intelligent connected vehicle terminal system,points out the main security attacks of intelligent connected vehicles,and focuses on exploring the application of anomaly detection technology in intelligent connected vehicles,including methods based on device fingerprints,parameter detection,information theory,artificial intelligence,and hybrid approaches.Finally,it looks forward to the possible future research directions of in vehicle network anomaly detection technology.

关 键 词：智能网联汽车 车载网络 网络安全 异常检测技术 

分 类 号：TN915.08[电子电信—通信与信息系统] U463.67[电子电信—信息与通信工程]