A new authentication scheme for dynamic charging system of electric vehicles in fog environment

IF 1.5 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zhongming Huang, Feng Wang, Chin-Chen Chang, Xiuqiang Chen
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引用次数: 0

Abstract

The dynamic charging system of electric vehicles has great potential for development. Electric vehicles initiate charging requests, and charging stations charge authorized electric vehicles. Fog computing improves the efficiency of request processing. However, open channels can be vulnerable to various attacks by a malicious adversary. Mutual authentication schemes allow users and charging stations to confirm each other. Therefore, numerous authentication and key agreement schemes have been proposed. In 2021, Babu et al. proposed an authentication scheme based on fog servers. Unfortunately, we found that their scheme can not resist FS impersonation attack and replay attack. Hence, we propose an authentication scheme between electric vehicles and fog servers to resolve the security weakness. Our scheme uses lightweight hash functions and XOR operations, which is more suitable for resource‐constrained electric vehicles. We proved our scheme can achieve mutual authentication by using BAN logic, and analyzed that our scheme can resist impersonation, replay, and known session key attacks, ensuring anonymity and untraceability. We finally compare computation cost and communication cost of our scheme with the existing schemes. The result shows that our scheme performs better than others overall. Therefore, our scheme is secure and suitable for dynamic charging systems.
雾环境下电动汽车动态充电系统的新型认证方案
电动汽车的动态充电系统具有巨大的发展潜力。电动汽车发起充电请求,充电站为授权的电动汽车充电。雾计算提高了请求处理的效率。然而,开放通道容易受到恶意对手的各种攻击。相互认证方案允许用户和充电站相互确认。因此,人们提出了许多认证和密钥协议方案。2021 年,Babu 等人提出了一种基于雾服务器的认证方案。遗憾的是,我们发现他们的方案无法抵御 FS 冒充攻击和重放攻击。因此,我们提出了一种电动汽车与雾服务器之间的认证方案,以解决安全弱点。我们的方案使用轻量级哈希函数和 XOR 运算,更适合资源有限的电动汽车。我们利用 BAN 逻辑证明了我们的方案可以实现相互认证,并分析了我们的方案可以抵御冒充、重放和已知会话密钥攻击,确保了匿名性和不可追踪性。最后,我们比较了我们的方案与现有方案的计算成本和通信成本。结果表明,我们的方案在整体上优于其他方案。因此,我们的方案是安全的,适用于动态收费系统。
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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来源期刊
自引率
5.30%
发文量
80
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