Vehicle data mining method and system based on vehicle-mounted self-organizing network

Abstract

The invention discloses a vehicle data mining method and system based on a vehicle-mounted self-organizing network, and the method comprises the steps: firstly collecting vehicle data representing thestate of a vehicle from an adjacent vehicle in real time through the vehicle-mounted self-organizing network, and forming a data set; converting the collected vehicle data into a compact structure ofan item set tree; secondly, performing item set mining on the item set tree, mining a closed item set and a minimum generator associated with the closed item set, and generating an ordered structure;then, according to a defined association rule structure general formula, extracting an instance of an association rule corresponding to the ordered structure data, and calculating a confidence coefficient; and finally, explaining the time correlation between the vehicles by using the calculated confidence coefficient and the instance of the association rule so as to carry out abnormal vehicle detection. Therefore, through the vehicle data mining method, the fault or malicious vehicle in the Internet of Vehicles can be accurately detected, so that the safety performance of the Internet of Vehicles is improved, and the operation efficiency of the Internet of Vehicles is effectively improved.

Description

technical field [0001] The invention relates to the technical field of networked vehicle communication data security, in particular to a vehicle data mining method and system based on a vehicle ad hoc network. Background technique [0002] With the development of Internet of Vehicles technology, Internet of Vehicles has been extensively studied and used in the current driving environment. Among them, vehicular ad hoc network (VANET) is considered to be a key technology to improve road safety. The safety application of VANET can reduce the occurrence rate of traffic accidents, and has safety reminder functions such as accident scene warning, intersection reminder, and road congestion reminder. In VANET safety applications, each vehicle regularly receives information about its current status (including position, orientation, etc.) from neighboring vehicles within the transmission range. This is done by sending regular heartbeat security messages every 10ms according to the D...

AI Technical Summary

Problems solved by technology

But these schemes only focus on the timeliness of information, and cannot detect and correct errors. These studies do not take into account the above-mentioned "malicious" vehicle, and the fact that it may provide wrong information

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