Collaborative Intrusion Detection Approach Based on Blockchain in Internet of Vehicles

Abstract

As the Internet of Vehicles (IoV) advances, the security concerns surrounding vehicular networks have grown increasingly critical due to the openness of networking among vehicles, inadvertently creating more opportunities for adversaries to infiltrate and potentially disrupt vehicle operations. Intrusion detection systems (IDSs) stand as a promising solution, effectively mitigating the myriad of threats and security concerns that plague vehicles. In this article, we delve into the realm of IDSs within vehicular networks and propose an innovative collaborative intrusion detection framework based on blockchain technology and auction game. First, we integrate a vehicular blockchain into the IDS, offering a holistic approach to tackling both internal and external threats within vehicular networks. Second, we introduce a novel assistant-delegated Byzantine fault tolerance (A-DBFT) consensus algorithm, designed to bolster the efficiency of intrusion detection within the blockchain while maintaining the efficacy of the consensus mechanism. Third, we develop an auction game mechanism that incentivizes assistants and verifiers to actively initiate and participate in auctions, thereby enhancing the overall security of our intrusion detection scheme. Ultimately, we present simulation results that validate the superiority of our proposed scheme compared to conventional approaches.