面向车联网环境的异常行为检测机制研究综述  

Review of Research on Misbehavior Detection in VANET

作　　者：曹越[1] 吕臣臣 孙娅苹 张宇昂 CAO Yue;LYU Chenchen;SUN Yaping;ZHANG Yu’ang(School of Cyber Science and Engineering,Wuhan University,Wuhan 430040,China;CIC Industry and Information Security,Beijing 100040,China)

机构地区：[1]武汉大学国家网络安全学院,武汉430040 [2]国家工业信息安全发展研究中心,北京100040

出　　处：《信息网络安全》2023年第4期10-19,共10页Netinfo Security

基　　金：湖北省国际科技合作计划[2021EHB012];武汉市知识创新专项[2022010801010117];中央高校基本科研业务费专项[2042022rc0020]。

摘　　要：以智能网联汽车为核心的下一代智能交通系统逐渐深入城市居民生活,但也暴露出如远程恶意控制车辆、泄露车主个人信息等安全威胁。相较于车端设备与车联网服务平台层面的安全问题,文章重点关注车联网通信层面面临的安全问题。基于此,文章对近年来车联网环境中异常行为检测机制的相关研究进行了梳理。首先,分析了异常行为定义,并总结了常见威胁模型;然后,从基于消息内容的异常检测、基于消息处理行为的异常检测和结合传感器的异常检测3个方面,讨论了异常行为检测机制的分类;最后,总结了当前车联网通信异常行为检测机制中尚未解决的技术问题和未来研究趋势。The Internet of vehicles(IoV)has gradually penetrated into the lives of urban residents,while security threats such as remote malicious control of vehicles and leakage of personal information of vehicle owners have gradually been exposed in recent years.Compared with the security concern on devices and platform in vehicular Ad-hoc network(VANET),this paper focused on the security issues faced by the communication of VANET.Therefore,this paper systematically reviewed the literature on misbehavior detection mechanisms of VANET in recent years.Firstly,this paper analyzed the definition of misbehavior and summarized common threat models.Then,the classification of misbehavior detection mechanisms was discussed,including detection mechanisms based on message content,detection mechanisms based on message processing behavior,and detection mechanisms combined with sensors.Finally,this paper summarized open issues and possible future research trends in the current misbehavior detection mechanisms of VANET communication.

关 键 词：车联网 异常行为检测 消息内容 消息处理行为 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]