System and method for detecting malicious nodes in Internet of Vehicles integrated with blockchain consensus mechanism

Abstract

The invention discloses a system and method for detecting malicious nodes in the Internet of Vehicles that integrates the block chain consensus mechanism. Any vehicle receives node V j Send the vehicle to node V i The message sent and the vehicle sent by node V i The identity information is packaged into a request authentication packet and sent to the RSU. After receiving the packet, the RSU communicates with V j Perform identity mutual authentication, if the identity mutual authentication passes, RSU will receive the V j The sent data packets are forwarded to TA. According to the traceability of the database recorded in the blockchain, the RSA algorithm is used for digital signature and information authentication, and combined with the current state of the vehicle node, the consensus mechanism is used to detect whether the vehicle node is a malicious node. This method can efficiently and accurately detect malicious vehicles in the Internet of Vehicles by using the non-tamperable characteristics of the data recorded in the blockchain. At the same time, it can also solve the problems of decentralized management and privacy protection in the Internet of Vehicles, thereby solving the The problem of low accuracy of malicious nodes can effectively reduce network overhead.

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

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