摘要
目前,针对车联网安全问题的研究主要集中在信息安全上,截至目前还未曾有对车联网系统所能检测到的用户行为进行安全评估的研究.不安全的用户行为和各种信息安全威胁共同组成了车联网中的车辆安全问题.对二者的安全评估现存在缺乏统一标准和评估手段的问题.2011年国际标准化组织推出了关于汽车安全的ISO-26262,描述了汽车以及汽车所包含的电子系统的安全分级方法.在此标准的分级算法的基础上,运用模糊综合评价模型对车联网中的2类安全事件进行定量分析,探讨了其相应的分级方法.
At present,the research on the safety of Internet of vehicles(IOV)is mainly focused on information security,and there has been no research on the safety assessment of user behaviors detected by the system of IOV.The security problem of Internet of vehicles consist of both unsafe user behavior and various information security threats.There is a lack of uniform standards and assessment methods for the safety assessment of the two problems.In 2011,international organization for standardization launched the ISO26262 on car safety,which describes safety classification method about car and car electronics.On the basis of the classification algorithm about the standard,this paper uses the fuzzy comprehensive assessment model to conduct quantitative analysis on the two safety cases in the Internet of vehicles,and discusses the corresponding classification method.
作者
张一鸣
佘堃
胡成华
Zhang Yiming;She Kun;Hu Chenghua(School of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu 610054)
出处
《信息安全研究》
2020年第5期433-440,共8页
Journal of Information Security Research
基金
四川省科技厅重大专项支助项目(M112018GZDZX0012)。
关键词
车联网
安全事件
分级
安全威胁
模糊综合评估
Internet of vehicles
safety case
classification
security threats
fuzzy comprehensive assessment