The emergence of the Vehicular Ad-hoc Networks (VANETs) has greatly enhanced the efficiency and safety of transportation systems. However, due to the dynamicness and openness of vehicular networks, it is vulnerable for VANETs to confront various security threats. The dissemination of disinformation and the occurrence of attacks within these networks can result in severe damage and compromise the overall security of transportation systems. To mitigate such challenges, this paper presents an efficient certificateless aggregate signature scheme with dynamic revocation in VANETs. Taking use of the early-stopping factorial bitwise divisions (EFBD) algorithm, it achieves the invalid signatures tracking, and revokes the malicious vehicles dynamically. In addition, by combining the fingerprint counting bloom filter (FP-CBF), the trust assessment mechanism and the cloud server, it enables the vehicle to remedy its incorrect signatures. At last, through the comprehensive security and performance analysis, it demonstrates that this protocol enjoys improved communication security and computational efficiency.

中文翻译：

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DRCLAS：车载自组织网络中具有动态撤销功能的高效无证书聚合签名方案

车载自组织网络（VANET）的出现极大地提高了交通系统的效率和安全性。然而，由于车载网络的动态性和开放性，VANET很容易面临各种安全威胁。这些网络内虚假信息的传播和攻击的发生可能会造成严重损害并危及运输系统的整体安全。为了缓解此类挑战，本文提出了一种在 VANET 中具有动态撤销功能的高效无证书聚合签名方案。利用提前停止阶乘按位除法（EFBD）算法，实现无效签名跟踪，动态撤销恶意车辆。此外，通过指纹计数布隆过滤器（FP-CBF）、信任评估机制和云服务器的结合，使得车辆能够纠正其不正确的签名。最后，通过全面的安全性和性能分析，表明该协议具有提高的通信安全性和计算效率。