一种基于容错的无证书、隐私保护的车载传感器网络认证

Yang Zhao, Guohang Dan, Ankang Ruan, Jicheng Huang, H. Xiong
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引用次数: 2

摘要

车载传感器网络的发展是为了改善交通、提升驾驶体验等,是一种必然的技术趋势。在车载传感器网络中,车辆产生的大量数据需要在开放通道中进行传输,因此保证信息的完整性和车辆的隐私性是非常重要的。对于这种苛刻的条件,聚合签名技术是一种非常合适的解决方案,因为它不仅提供消息完整性和身份验证,而且非常适合资源受限的环境。因此,本文针对车载传感器网络,提出了一种基于椭圆曲线密码体制的无证书容错聚合签名方案。无证书的特性使我们的方案摆脱了传统公钥加密中的证书管理问题和基于身份的加密中的密钥托管问题。容错性极大地弥补了聚合签名的缺陷,即向有效聚合添加无效的单个签名会使整个聚合失效。此外,我们的方案可以保护车辆的身份隐私。最后给出了安全性证明和性能评价。在随机oracle模型中,我们的方案在假设求解椭圆曲线离散对数问题困难的情况下是安全的,并且与目前的技术相比具有很大的性能优化和功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Certificateless and Privacy-Preserving Authentication with Fault-Tolerance for Vehicular Sensor Networks
The vehicular sensor network has been developed to improve traffic, enhance the driving experience and so on, and is an inevitable technology trend. In vehicular sensor network, large amounts of data generated by vehicles need to be transmitted in the open channel, so it is important to ensure the integrity of information and vehicular privacy. For such a harsh condition, the aggregate signature technology is a very suitable solution, because it not only provides message integrity and authentication, but is also well suited to resource-constrained environments. Thus, in this paper, for vehicular sensor networks, we construct a certificateless and fault-tolerant aggregate signature (CLFTAS) scheme based on the elliptic curve cryptosystem. The certificateless nature makes our scheme free from the certificate management issue in traditional public key cryptography and the key escrow issue in identity-based cryptography. Fault tolerance greatly makes up for the aggregate signature's defect that adding an invalid individual signature to a valid aggregate invalidates the entire aggregation. Moreover, our scheme can protect the privacy of the vehicle’ identity. In the end, we give the security proof and performance evaluation. In the random oracle model, our scheme is secure under the assumption that solving the elliptic curve discrete logarithm problem is hard, and has great performance optimization and functionality compared with the state-of-the-art.
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