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

Shalini Yadav, R. Rishi
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Abstract

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.
基于驾驶员身份认证的智能交通系统最优安全框架
摘要安全保障一直是智能交通领域的关键问题。人员和车辆的安全是一个值得关注的问题。为此,本文设计了一个基于身份验证的安全框架。只有经过授权的用户才能进入车辆。司机首先从授权和有效的来源登记驾驶车辆。下一步是在允许访问车辆之前进行身份验证检查。根据车辆所处的情况,解决方案中为身份验证检查提供了两种替代方法。从实时智能交通系统环境的安全角度来看,该解决方案是最优可行的解决方案。结果表明,安全解决方案非常适合该领域,并按预期执行。该解决方案已在与车辆相连的车辆跟踪设备上进行了测试。同样的解决方案可以扩展到车队。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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