Browse Publications Technical Papers 2018-01-1642

Research on Information Security Risk Evaluation of Vehicle Information System Based on Fuzzy- BP-GA 2018-01-1642

With the development of the intelligent connected vehicle , the security of vehicle information system is facing a number of aspects of threats.The entire intelligent connected vehicle information system is consist of the ECUs, sensors, CAN bus,In-Vehicle Infotainment system (IVI), T-BOX as well as TSP(Telematics Service Provider) cloud platform,etc. These assets will be facing many threats such as eavesdropping, tampering, counterfeiting and replay,etc. The information security risk evaluation of automobile information system is the precondition of realizing the information security of automobile full life cycle,an asset in the vehicle information system may exist a variety of potential security vulnerabilities,and each security vulnerability may be also exploited by counterfeiting, denial of service,etc.According to the current situation that the risk assessment of automobile information system is qualitatively ,quantitatively, linear, nonlinear and so on, lots of factors make the security assessment of it very complicated and difficult. So in this paper, the fuzzy theory, BP neural network technology and genetic algorithm (Fuzzy-BP-GA) are introduced into the risk assessment of ICV information system.Combining with the information security risk assessment theory, and considering some security factors of the entire vehicle information system ,such as the asset value, the availability of vulnerability, the severity of vulnerability, the possibility of threat as well as the effectiveness of existing security measures, the mathematical evaluation model of risk degree is set up,with illustration of its application process by samples,and the accuracy of the method is verified.The results show that the Fuzzy-BP-GA method also has the advantage of good convenience and applicability.


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