An Optimal Security Framework Based on Driver Authentication for Intelligent Transportation Systems

Yadav Shalini () and Rishi Rahul ()
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Yadav Shalini: Maharshi Dayanand University, University Institute of Engineering & Technology, Department of Computer Science and Engineering, Rohtak, India
Rishi Rahul: Maharshi Dayanand University, University Institute of Engineering & Technology, Department of Computer Science and Engineering, Rohtak, India

LOGI – Scientific Journal on Transport and Logistics, 2023, vol. 14, issue 1, 24-34

Abstract: Security and safety have been a critical issue in the field of Intelligent Transportation Systems. Security of both people and vehicles is a matter of concern. In this paper, an authentication-based security framework is designed to serve the purpose. Only authorized users are provided access to the vehicle. The drivers are first registered for driving the vehicle from an authorized and valid source. The next step is the authentication check before one can be given access to the vehicle. There are two alternative methods provided for the authentication check in the solution depending upon the situation the vehicle is in. The solution is an optimally viable solution from the security perspective of the real-time Intelligent Transportation System environment. The results have shown that the security solution fits into the domain very well and performs as per expectations. The solution has been tested on a Vehicle Tracking Device connected to a vehicle. The same solution can be extended to a fleet of vehicles.

Keywords: Intelligent transportation system; vehicle tracking device; authentication; smart city (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:logitl:v:14:y:2023:i:1:p:24-34:n:1

DOI: 10.2478/logi-2023-0003

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