基于PUF和Chebyshev混沌映射的轻量级V2R认证协议

Haiyan Wang Haiyan Wang, Haibing Mu Haiyan Wang
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摘要

车联网(IoV)在提升社会交通服务智能化方面发挥着重要作用。然而,V2R认证协议存在隐私泄露、计算量大、效率低等问题。为了解决这些问题,提出了一种基于物理不可克隆函数(PUF)和Chebyshev混沌映射的轻量级V2R认证协议。该方案利用PUF的轻量化特性,有效地解决了OBU的资源约束问题。模糊提取器可以校正PUF响应的微小变化,提高数据传输的精度。此外,具有良好加密特性的Chebyshev混沌映射在实现V2R相互认证的同时,建立了安全的会话密钥。仿真结果表明,结合PUF、混沌映射和模糊提取器的方案与现有协议相比,通信和计算开销节省了4.7% ~ 49%。在安全性方面,我们的方案也能很好地满足车联网V2R认证协议的要求。
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A Lightweight V2R Authentication Protocol Based on PUF and Chebyshev Chaotic Map
Internet of Vehicles (IoV) plays an important role in enhancing the intelligence of social transportation services. However, there are existing such as privacy leakage, computational complexity and low efficiency on V2R authentication protocols. To solve these problems, a lightweight V2R authentication protocol according to physical unclonable function (PUF) and Chebyshev chaotic map is proposed. The lightweight property of PUF in this scheme can solve the resource constraint problem of the On-Board Unit (OBU) effectively. The fuzzy extractor can correct for small variations in PUF response and improve the accuracy of data transmission. Besides, Chebyshev chaotic map with good cryptographic properties establishes a secure session key while achieving mutual authentication of V2R. Finally, simulation results show that the scheme combining PUF, chaotic map, and fuzzy extractor in this paper saves 4.7% to 49% in communication and calculation overhead comparing with existing protocols. In terms of security, our scheme can also meet the requirements well in the V2R authentication protocol for IoV.  
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