Title: Collaborative decision making system in intelligent transportation system using distributed blockchain technology

Authors: Bhabendu Kumar Mohanta; Debasish Jena; Utkalika Satapathy; Somula Ramasubbareddy

Addresses: Department of Computer Science and Engineering, International Institute of Information Technology, Bhubaneswar, Odisha, India ' Department of Computer Science and Engineering, International Institute of Information Technology, Bhubaneswar, Odisha, India ' Department of Computer Science and Engineering, International Institute of Information Technology, Bhubaneswar, Odisha, India ' Department of Information Technology, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology (VNRVJIET), Hyderabad, Telangana, India

Abstract: Intelligent Transportation System (ITS) is one of the promising applications of the Internet of Things (IoT) as the IoT system provides an easy way to collect and monitor the system. One of the critical components to make a city smart is by managing the traffic. The mode of transportation in the city is different, like bike, car, bus, auto, and rickshaw. Most of the vehicles integrated with Information Communication Technology (ICT). As the vehicles share and access the information from the ITS infrastructure, some security issue exists. The security issues are trust management, privacy, data linking, and computational problems. In this paper, the authors first identify the security issue present in the ITS model, then propose a distributed architecture of the ITS system using Blockchain. Then, the Consensus algorithm is used to perform computations in a distributed platform. Ethereum platform used to create a distributed network. The implementation and security analysis are given at the end.

Keywords: collaborative; secure decision making; Blockchain; IoT; intelligent transportation system; Ethereum.

DOI: 10.1504/IJVICS.2022.120823

International Journal of Vehicle Information and Communication Systems, 2022 Vol.7 No.1, pp.64 - 81

Received: 05 Jan 2020
Accepted: 04 May 2020
Published online: 11 Feb 2022 *

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