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EMBA: An Efficient Anonymous Mutual and Batch Authentication Schemes for Vanets

机译:EMBA:候车室的高效匿名相互和批量身份验证方案

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摘要

Nowadays, Vehicular ad-hoc networks (VANETs) have enormous research attention due to the challenges in safe driving and the demand for infotainment services during the travel. To ensure the proper operations of VANETs, it is important to provide an efficient user authentication scheme with privacy preserving. In this paper, we present a novel anonymous mutual and batch authentication schemes for improving VANET security. The proposed scheme makes use of some well-known cryptographic operations to authenticate vehicles. In our scheme, the vehicle users communicate with Road Side Units (RSUs) to get location based information (LBI) to enrich their driving comfort. The security strength of our proposed scheme is analyzed against the various security attacks to aid a better performance than the previously reported schemes. Extensive experimental simulations are demonstrated to validate the computational complexity of our proposed scheme.
机译:如今,由于安全驾驶方面的挑战以及旅途中对信息娱乐服务的需求,车载自组织网络(VANET)受到了广泛的研究关注。为了确保VANET的正确运行,重要的是提供一种具有隐私保护功能的有效用户身份验证方案。在本文中,我们提出了一种新颖的匿名相互和批量身份验证方案,以提高VANET安全性。所提出的方案利用一些众所周知的密码操作来认证车辆。在我们的方案中,车辆用户与路边单元(RSU)进行通信以获得基于位置的信息(LBI),以丰富他们的驾驶舒适性。针对各种安全攻击对我们提出的方案的安全强度进行了分析,以提供比以前报告的方案更好的性能。大量的实验仿真表明,可以验证我们提出的方案的计算复杂性。

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