Internet of vehicles malicious node detection system and method for integrated block chain consensus mechanism

Abstract

The invention discloses an Internet of vehicles malicious node detection system and method for an integrated block chain consensus mechanism. Messages sent by a vehicle sending node Vi and identity information of a vehicle sending node Vi are packaged into a request authentication data packet to be sent to RSU via any vehicle receiving node Vj; after receiving the data packet, the RSU performs mutual identity authentication with the Vj; if the mutual identity authentication is passed, the RSU forwards the received data packet sent by the Vj to a TA; according to the traceability of a databaserecorded by a block chain, digital signature and information authentication are performed by using a RSA algorithm; the consensus mechanism is used for detecting whether the vehicle node is a malicious node through combining with the current state of the vehicle node. According to the method, the characteristic that the data recorded by the block chain is not easy to tamper is used, the maliciousvehicle in the Internet of vehicles can be efficiently and accurately detected, meanwhile, the problems of decentralized management and privacy protection of the Internet of vehicles also can be solved, and thus the problem that in the Internet of vehicles, the detection accuracy of the malicious node is low is solved, and the network overhead is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles security technology, in particular to a malicious node detection system and method for Internet of Vehicles integrated with a block chain consensus mechanism. Background technique [0002] The security of the Internet of Vehicles involves aspects such as vehicle node privacy protection and malicious node detection. In the Internet of Vehicles, false messages sent by malicious or selfish vehicle nodes will reduce the operating efficiency of the Internet of Vehicles, and even endanger the safety of drivers. Therefore, it is extremely important to detect malicious vehicle nodes in the Internet of Vehicles in time. At present, the methods for detecting malicious nodes are based on radio frequency identification, based on anonymous certificates, and based on group signatures and other legal identity authentication methods of vehicle nodes. These methods have large system overhead and high ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a system and method for detecting malicious nodes in the Internet of Vehicles that integrates the consensus mechanism of the block chain. The present invention proposes to review the legitimacy of the vehicle nodes according to the public knowledge mechanism of the block chain, thereby solving the problem of the accuracy of detecting malicious nodes in the Internet of Vehicles. Low problem, effectively reduce network overhead

Images