Lightweight and Space-efficient Vehicle Authentication based on Cuckoo Filter

Charalampos Kalalas, J. Alonso-Zarate
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引用次数: 4

Abstract

While the emerging vehicle-to-everything (V2X) connectivity paradigm is radically transforming the automotive sector, unprecedented security challenges arise, calling for innovative security enablers with minimum impact on the ongoing communication. In dense V2X scenarios, the 5G authentication and key agreement (5G-AKA) procedure may suffer from uncontrolled failures which result in unacceptable latency levels due to the excessive signalling overhead. In this paper, we introduce a lightweight vehicle authentication scheme, as an extension of the 5G-AKA, to adequately address a high number of authentication requests. The proposed mechanism leverages the space-efficient features of the cuckoo filter, a probabilistic data structure for approximate set membership tests, to achieve authentication of multiple vehicles at a time. Our performance analysis reveals the impact of various cuckoo filter parameter configurations on the authentication efficiency. In addition, our proposed authentication mechanism is able to outperform the standardized 5G-AKA procedure in terms of latency and protocol overhead even for high vehicle load.
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基于杜鹃滤波器的轻量化和空间高效车辆认证
虽然新兴的车联网(V2X)连接模式正在从根本上改变汽车行业,但前所未有的安全挑战也随之而来,这就需要在对当前通信影响最小的情况下,提供创新的安全支持。在密集的V2X场景中,5G身份验证和密钥协议(5G- aka)过程可能会出现不受控制的故障,由于信号开销过大,导致无法接受的延迟水平。在本文中,我们引入了一种轻量级的车辆身份验证方案,作为5G-AKA的扩展,以充分解决大量的身份验证请求。该机制利用了布谷鸟滤波器的空间效率特征,布谷鸟滤波器是一种用于近似集合隶属度测试的概率数据结构,可以一次对多辆车进行认证。我们的性能分析揭示了各种杜鹃滤波器参数配置对认证效率的影响。此外,即使在高车辆负载情况下,我们提出的身份验证机制在延迟和协议开销方面也能够优于标准化的5G-AKA过程。
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