A Voting Blockchain based Message Dissemination in Vehicular Ad-Hoc Networks (VANETs)

Ayaz, F. , Sheng, Z., Tian, D., Liang, G. Y. and Leung, V. (2020) A Voting Blockchain based Message Dissemination in Vehicular Ad-Hoc Networks (VANETs). In: 2020 IEEE International Conference on Communications (ICC), 07-11 Jun 2020, ISBN 9781728150895 (doi: 10.1109/ICC40277.2020.9148823)

Abstract

Secure message dissemination is an important requirement of intelligent transportation systems (ITS). Existing solutions, such as broadcasting, are effective in flooding a message to a wider area, however, they are inherently unreliable and bandwidth inefficient. Furthermore, it is difficult to both assess the authenticity of a message and maintain the privacy of sender in a single solution. Moreover, as a practical solution, there is a need of economic modeling to incentivise vehicles for safe driving and cooperation. This paper proposes a blockchain based message dissemination approach which utilises incentive distribution and reputation management to overcome these challenges. Specifically, with the proposed voting based consensus algorithm, it can assess the authenticity of a message and select the most suitable relay node for its dissemination in a completely decentralised fashion. Meanwhile, the blockchain based integrated incentive and reputation scheme encourages the cooperation among vehicles and strengthens its ability to deliver authentic messages. The security capacity of the proposed solution is demonstrated by a game theoretic analysis. Simulation results show that the proposed approach can save average consensus time by 11% and improve success rate of authentic message dissemination by 17% with less number of hops as compared to the existing solutions.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ayaz, Ms Ferheen
• Authors: Ayaz, F., Sheng, Z., Tian, D., Liang, G. Y., and Leung, V.
• College/School: College of Science and Engineering > School of Computing Science
• ISSN: 1550-3607
• ISBN: 9781728150895
• Published Online: 27 July 2020