An Enhanced Privacy-Preserving Authentication Scheme for Vehicle Sensor Networks.

An Enhanced Privacy-Preserving Authentication Scheme for Vehicle Sensor Networks.
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一种增强的车辆传感器网络隐私保护认证方案

DOI:
10.3390/s17122854
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发表时间:
2017-12-08
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Wang X
Wang X
中科院分区:
其他
文献类型:
--
作者:
Zhou Y;Zhao X;Jiang Y;Shang F;Deng S;Wang X

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车辆传感器网络(VSN)通过实现更智能的交通系统和提供更高效的驾驶体验,迎来了一个充满希望的未来。然而,由于其固有的开放性,VSN受到大量潜在的安全威胁。虽然已经提出了各种认证方案来解决安全问题,但由于它们的高计算和通信成本,它们不适合VSN应用。Chuang和Lee开发了一种信任扩展认证机制(TEAM),用于使用可传递信任关系的车辆到车辆通信,他们声称可以抵御各种攻击。然而,由于使用共享密钥,它无法抵抗内部攻击。本文针对TEAM的脆弱性,构造了一种增强的VSN隐私保护认证方案。基于计算Diffie-Hellman问题的假设,在随机预言模型下证明了该方案的安全性.
Vehicle sensor networks (VSNs) are ushering in a promising future by enabling more intelligent transportation systems and providing a more efficient driving experience. However, because of their inherent openness, VSNs are subject to a large number of potential security threats. Although various authentication schemes have been proposed for addressing security problems, they are not suitable for VSN applications because of their high computation and communication costs. Chuang and Lee have developed a trust-extended authentication mechanism (TEAM) for vehicle-to-vehicle communication using a transitive trust relationship, which they claim can resist various attacks. However, it fails to counter internal attacks because of the utilization of a shared secret key. In this paper, to eliminate the vulnerability of TEAM, an enhanced privacy-preserving authentication scheme for VSNs is constructed. The security of our proposed scheme is proven under the random oracle model based on the assumption of the computational Diffie–Hellman problem.
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