车联网环境下CACC车辆信息传播安全性研究*

doi:10.19562/j.chinasae.qcgc.2019.03.003

汽车工程 ›› 2019, Vol. 41 ›› Issue (3): 252-258.doi: 10.19562/j.chinasae.qcgc.2019.03.003

车联网环境下CACC车辆信息传播安全性研究^*

魏磊,王云鹏,秦洪懋,余贵珍

北京航空航天大学,车路协同与安全控制重点实验室,北京 100191

收稿日期:2017-11-22 出版日期:2019-03-25 发布日期:2019-03-25
通讯作者: 秦洪懋,讲师,E-mail:qinhongmao@buaa.edu.cn
基金资助:
国家重点研发计划“政府间国际科技创新合作”重点专项(2016YFEO125000)和北京市科技计划项目(D171100005117001)资助

A Research on Security of Information Propagation of CACC Vehicles Under Internet of Vehicles Environment

Wei Lei, Wang Yunpeng, Qin Hongmao & Yu Guizhen

Beihang University, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Beijing 100191

Received:2017-11-22 Online:2019-03-25 Published:2019-03-25

摘要/Abstract

摘要： 针对CACC车辆与普通车辆混合行驶的道路环境,综合考虑交通流、信息流与病毒传播之间的相互关联,计算CACC车辆病毒感染概率,构建出车联网环境下的CACC车辆病毒信息传播动力学模型。之后分析了不同环境下CACC车辆病毒感染概率,并对病毒信息传播过程进行仿真。仿真结果表明:无论是在不同的通信范围限制条件下,还是在不同的交通流密度环境中,都可以通过降低CACC车辆病毒感染概率来有效控制病毒信息传播范围,提升CACC车辆信息传播安全性。

关键词: 车联网, 车车通信, 病毒信息传播, 网络安全

Abstract: To analyze the virus propagation under the road environment mixed with CACC vehicles and common vehicles, considering the interaction among traffic flow, information flow and virus propagation, CACC vehicle virus infection probability is calculated and the dynamic model of virus propagation is built. Then, the probability of virus infection under different environments is analyzed and the process of virus propagation is simulated. The simulation results show that reducing the probability of virus infection can control the spread of virus effectively and improve the security of information propagation of CACC vehicles,both in different communication range limits and in different traffic density environments

Key words: internet of vehicles, vehicle-to-vehicle communications, virus information propagation, cyber security

魏磊,王云鹏,秦洪懋,余贵珍. 车联网环境下CACC车辆信息传播安全性研究^*[J]. 汽车工程, 2019, 41(3): 252-258.

Wei Lei, Wang Yunpeng, Qin Hongmao & Yu Guizhen. A Research on Security of Information Propagation of CACC Vehicles Under Internet of Vehicles Environment[J]. , 2019, 41(3): 252-258.

参考文献

[1] KIM Y H, PEETA S. Graph-based modeling of information flow evolution and propagation under V2V communications-based advanced traveler information systems[J]. Computer-Aided Civil and Infrastructure Engineering,2016,31(7):499-514.
[2] 李克强,戴一凡,李升波,等.智能网联汽车(ICV)技术的发展现状及趋势[J].汽车安全与节能学报,2017,8(1):1-14.
[3] MONTEIL J, BILLOT R, SAU J, et al. Cooperative highway traffic: multi-agent modelling and robustness assessment to local perturbations[J]. Transportation Research Record Journal of the Transportation Research Board,2013,2391(2391):1-10.
[4] SPAHO E, BAROLLI L, MINO G, et al. VANET simulators: a survey on mobility and routing protocols[C]. International Conference on Broadband and Wireless Computing, Communication and Applications. IEEE,2011:1-10.
[5] YANG X, RECKER W. Simulation studies of information propagation in a self-organizing distributed traffic information system[J]. Transportation Research Part C Emerging Technologies,2005,13(5-6):370-390.
[6] WU H, LEE J, HUNTER M, et al. Efficiency of simulated vehicle-to-vehicle message propagation in Atlanta, Georgia, I-75 Corridor[J]. Transportation Research Record Journal of the Transportation Research Board,2005,1910(1):82-89.
[7] NG M W, WALLER S T. A static network level model for the information propagation in vehicular ad hoc networks[J]. Transportation Research Part C: Emerging Technologies,2010,18(3):393-407.
[8] KESTING A, TREIBER M, HELBING D. Connectivity statistics of store-and-forward intervehicle communication[J]. IEEE Transactions on Intelligent Transportation Systems,2010,11(1):172-181.
[9] KIM Y H, PEETA S, HE X. Macroscopic modeling of spatiotemporal information flow propagation wave under vehicle-to-vehicle communications[C]. International Conference on Intelligent Transportation Systems. IEEE,2015:751-756.
[10] DU L, GONG S, WANG L, et al. Information-traffic Coupled cell transmission model for information spreading dynamics over vehicular ad hoc network on road segments[J]. Transportation Research Part C: Emerging Technologies,2016,73:30-48.
[11] 邱小平,于丹,孙若晓,等.基于安全距离的元胞自动机交通流模型研究[J].交通运输系统工程与信息,2015,15(2):54-60.
[12] BROCKMANN D, HELBING D. The hidden geometry of complex, network-driven contagion phenomena[J]. Science,2013,342(6164):1337.
[13] 陆丽丽,郑彭军,任刚,等.车联网环境下CACC车辆通信概率分析模型[J].交通运输系统工程与信息,2017,17(1):112-119.
[14] SOU S I. Modeling emergency messaging for car accident over dichotomized headway model in vehicular ad-hoc networks[J]. IEEE Transactions on Communications,2013,61(2):802-812.

车联网环境下CACC车辆信息传播安全性研究^*

A Research on Security of Information Propagation of CACC Vehicles Under Internet of Vehicles Environment

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