Abstract: With the rapid development of the Internet of vehicles, its security issues are increasingly prominent. At present, the main research direction of the academic community is the security of specific terminals, and the Internet of vehicles is not as a whole to carry out security research, so the research in this direction is in an urgent moment. To solve this problem, this paper proposes a network security emergency response method for the Internet of vehicles based on set of experience knowledge structure (SOEKS) and case-based reasoning (CBR) to realize the automatic and fast processing of specific security events. The paper designs the knowledge representation method for the data sources and cases of the Internet of vehicles, and designs a double similarity matching algorithm based on the nearest neighbor algorithm to quickly match the security events, so as to get a fast and more accurate response. Finally, the paper implements the emergency response system, verifies that the system can get accurate emergency response plan of current events from historical data, and confirms the feasibility and effectiveness of the method proposed in this paper.

Key words: Internet of vehicles, network security, emergency response strategy, matching algorithm, CBR