Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-04-07 Cooperative journals: 《计算机应用研究》
Abstract： The increase of in-vehicle electronic equipment makes the in-vehicle network face more and more threats. The lack of authentication of the Electronic Control Unit in the in-vehicle network and the lack of encryption of the communication data of the Controller Area Network make the in-vehicle network vulnerable to replay, ECU injection, man-in-the-middle forged messages, eavesdropping, etc, Witch make serious consequences. Aiming at the current vehicle network threats, a vehicle network security communication model based on SecOC is proposed. This model uses the SM4 cryptographic algorithm and the improved key management based on Bkake2s to realize the authentication of the vehicle ECU and the encryption and authentication of the vehicle network message. Finally, after analysis and testing, the model can protect the in-vehicle network security and be more efficient.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-05-10 Cooperative journals: 《计算机应用研究》
Abstract： Mobile edge computing technology combines IT service environments and cloud computing technologies at the edge of the network to improve the computing and storage capabilities of edge networks while reducing network operations and service delivery delays. Vehicular networks integrating MEC, could meet the strict requirements of vehicle service delay and communication reliability, as well as improve the quality of service for vehicle users. This paper studied and analyzed MEC applications in vehicular networks. Firstly, it provided a brief on the basic concept and architecture of MEC, and its typical application scenarios. Thereafter, it described a comprehensive survey of relevant research in the area of MEC-based vehicular networks along with a focus on the current SDN-related works on MEC-based vehicular networks, as well as several use cases. Finally, this paper discussed the main problems and challenges to deploy MEC in vehicular networks; and analyzed the future research directions on these areas.
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