On a Blockchain-Based Security Scheme for Defense against Malicious Nodes in Vehicular Ad-Hoc Networks

Author:

Liu Guandong,Fan Na,Wu Chase Q.ORCID,Zou Xiaomin

Abstract

Vehicular ad-hoc networks (VANETs) aim to provide a comfortable driving experience. Sharing messages in VANETs can help with traffic management, congestion mitigation, and driving safety. However, forged or false messages may undermine the efficiency of VANETs. In this paper, we propose a security scheme based on blockchain technology, where two types of blockchain are constructed based on roadside units (RSUs) and Certificate Authorities (CAs), respectively. The proposed security scheme has multifold goals to identify malicious nodes and detect forged messages based on multiple factors, such as reputation of sender nodes, and time and distance effectiveness of messages. In addition, an incentive mechanism is introduced on the RSU blockchain to encourage RSUs to adopt active behaviors. Extensive simulations show that the proposed scheme exhibits superior performances to existing methods in detecting forged messages and identifying malicious nodes. Meanwhile, it provides privacy protection and improves the efficiency of vehicular networks.

Funder

Key Research and Development Plan Project of Shaanxi Province,China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference40 articles.

1. A Survey on Platoon-Based Vehicular Cyber-Physical Systems

2. Detection of Intelligent Malicious and Selfish Nodes in VANET using Threshold Adaptive Control;Kerrache;Proceedings of the International Conference on Electronic Devices IEEE,2017

3. RITA: RIsk-aware Trust-based Architecture for collaborative multi-hop vehicular communications

4. Trusit centric approach based on similarity in VANET;Kothari;Proceedings of the International Conference on Signal Processing IEEE,2017

5. A Context-Aware Trust-Based Information Dissemination Framework for Vehicular Networks

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