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VANET Blockchain: A General Framework for Detecting Malicious Vehicles

Ahmad Mostafa
Computer Networks Department Faculty of Informatics and Computer Science The British University in Egypt

Abstract —Malicious nodes are affecting many of the current networks, specially, the decentralized networks such as VANETs. VANETs are highly decentralized networks that are highly dynamic and include many nodes or vehicles that are introduced and leave the network abruptly. In order to overcome this challenge, we propose using the blockchain technology. Blockchain is an emerging technology that is changing how modern system and technologies operate. Many systems nowadays are based on this technology including the Bitcoin system. However, many other technologies are realizing the potential benefits of the blockchain technology. In this paper, we propose the use of mini blockchain in the detection of malicious vehicles in VANET. We propose a general framework in which malicious vehicles will not be able to gain the trust of other vehicles and be part of the network. This is achieved through the utilization of environmental sensory data and validating the authenticity of the packets, and allowing a vehicle to add different blocks to the blockchain. We show that our framework is able to deal with malicious nodes and with Sybil attacks. 
Index Terms—VANET, blockchain, sybil attacks, authentication, data validation, mini blockchain, fingerprint, malicious nodes

Cite: Ahmad Mostafa, "VANET Blockchain: A General Framework for Detecting Malicious Vehicles," Journal of Communications, vol. 14, no. 5, pp. 356-362, 2019. Doi: 10.12720/jcm.14.5.356-362