可证明的安全认证协议的交通交换在无人驾驶飞行器

IF 3.2 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS High-Confidence Computing Pub Date : 2023-09-15 DOI:10.1016/j.hcc.2023.100154
Vincent Omollo Nyangaresi
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引用次数: 0

摘要

无人驾驶飞行器提供在潜在敌对控制区域进行军事侦察等服务。此外,它们还被部署在民用关键基础设施监测中。在这种环境下,飞行器和地面控制站之间进行实时、海量的数据交换。根据这些飞行器的任务,一些收集和传输的数据是敏感和私人的。因此,出现了许多安全协议来提供隐私和安全保护。然而,这些方案大多没有考虑到诸如侧信道、去同步和已知秘密会话临时信息泄漏等攻击向量。这最后一次攻击可以在敌方捕获这些无人机后发动。此外,其中一些协议部署了计算密集型的非对称加密原语,这导致了很高的开销。本文提出了一种基于轻量级二次残数和哈希函数的认证协议。其形式化的安全性分析是使用广泛部署的随机oracle模型执行的。此外,本文还进行了非正式安全分析,验证了该方法在Dolev-Yao (DY)和Canetti-Krawczyk (CK)威胁模型下的鲁棒性。在操作效率方面,它具有相对较低的执行时间和通信成本,并且在其他相关协议中占用的存储成本最少。具体来说,提议的协议在支持的安全和隐私功能方面提供了25%的改进,并降低了6.52%的存储成本。总的来说,所提出的方法以较低的执行时间、存储和通信开销提供了强大的安全性和隐私保护。
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Provably secure authentication protocol for traffic exchanges in unmanned aerial vehicles

Unmanned aerial vehicles offer services such as military reconnaissance in potentially adversarial controlled regions. In addition, they have been deployed in civilian critical infrastructure monitoring. In this environment, real-time and massive data is exchanged between the aerial vehicles and the ground control stations. Depending on the mission of these aerial vehicles, some of the collected and transmitted data is sensitive and private. Therefore, many security protocols have been presented to offer privacy and security protection. However, majority of these schemes fail to consider attack vectors such as side-channeling, de-synchronization and known secret session temporary information leakages. This last attack can be launched upon adversarial physical capture of these drones. In addition, some of these protocols deploy computationally intensive asymmetric cryptographic primitives that result in high overheads. In this paper, an authentication protocol based on lightweight quadratic residues and hash functions is developed. Its formal security analysis is executed using the widely deployed random oracle model. In addition, informal security analysis is carried out to show its robustness under the Dolev–Yao (DY) and Canetti–Krawczyk (CK) threat models. In terms of operational efficiency, it is shown to have relatively lower execution time, communication costs, and incurs the least storage costs among other related protocols. Specifically, the proposed protocol provides a 25% improvement in supported security and privacy features and a 6.52% reduction in storage costs. In overall, the proposed methodology offers strong security and privacy protection at lower execution time, storage and communication overheads.

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