How UAVs’ Highly Dynamic 3D Movement Improves Network Security?

Mohammed Gharib, F. Afghah
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Abstract

Cooperative ad hoc unmanned aerial vehicle (UAV) networks need essential security services to ensure their communication security. Cryptography, as the inseparable tool for providing security services, requires a robust key management system. Alas, the absence of infrastructure in cooperative networks leads to the infeasibility of providing conventional key management systems. Key pre-distribution schemes have shown promising performance in different cooperative networks due to their lightweight nature. However, intermediate decryption-encryption (DE) steps and the lack of key updates are the most concerning issues they suffer from. In this paper, we propose a simple and effective key management algorithm inspired by the idea of key pre-distribution, where it utilizes the highly dynamic UAV node movement in 3D space to provide the key update feature and optimizes the number of intermediate DE steps. Although it is a general model for any mobile ad hoc network, we have selected UAV network as an example domain to show the efficiency of the model given the high mobility. We define the communication density parameter to analytically show that using any highly dynamic random movement pattern leads our algorithm to work effectively. To show the proposed algorithm’s effectiveness, we exhaustively analyze its security and performance in the UAV network using the ns-3 network simulator. Results validate our analytical findings and show how the highly dynamic UAV network movement helps our algorithm to provide the key update feature and to optimize the number of DE steps 1.
无人机的高动态3D运动如何提高网络安全?
协作自组网无人机网络需要必要的安全服务来保证其通信安全。密码学作为提供安全服务不可分割的工具,需要一个健全的密钥管理系统。可惜的是,合作网络中基础设施的缺乏导致提供传统密钥管理系统的不可行性。密钥预分配方案由于其轻量级的特点,在不同的合作网络中表现出了良好的性能。然而,中间的解密-加密(DE)步骤和缺少密钥更新是它们最关心的问题。本文以密钥预分发思想为灵感,提出了一种简单有效的密钥管理算法,该算法利用无人机节点在三维空间中的高度动态运动来提供密钥更新功能,并优化中间DE步骤的数量。虽然该模型是适用于任何移动自组织网络的通用模型,但我们选择无人机网络作为示例域,以显示该模型在高移动性下的有效性。我们定义了通信密度参数,分析表明使用任何高度动态的随机移动模式都可以使算法有效地工作。为了证明该算法的有效性,我们利用ns-3网络模拟器对其在无人机网络中的安全性和性能进行了详尽的分析。结果验证了我们的分析结果,并展示了高度动态的无人机网络运动如何帮助我们的算法提供关键更新功能并优化DE步骤的数量1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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