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Abstract：
Recent advances in aerial robotics and wireless transceivers have generated an enormous interest in networks constituted by multiple compact unmanned aerial vehicles (UAVs). UAV adhoc networks, i.e., aerial networks with dynamic topology and no centralized control, are found suitable for a unique set of applications, yet their operation is vulnerable to cyberattacks. In many applications, such as IoT networks or emergency failover networks, UAVs augment and provide support to the sensor nodes or mobile nodes in the ground network in data acquisition and also improve the overall network performance. In this situation, ensuring the security of the adhoc UAV network and the integrity of data is paramount to accomplishing network mission objectives. In this paper, we propose a novel approach to secure UAV adhoc networks, referred to as the blockchain-assisted security framework (BCSF). We demonstrate that the proposed system provides security without sacrificing the performance of the network through blockchain technology adopted to the priority of the message to be communicated over the adhoc UAV network. Theoretical analysis for computing average latency is performed based on queuing theory models followed by an evaluation of the proposed BCSF approach through simulations that establish the superior performance of the proposed methodology in terms of transaction delay, data secrecy, data recovery, and energy efficiency.
摘要：
空中机器人和无线收发器的最新进展已经引起了对由多个紧凑型无人驾驶飞行器(UAV)构成的网络的巨大兴趣。无人机自组织网络，即，具有动态拓扑和无集中控制的空中网络，被发现适合一组独特的应用程序，然而，他们的行动容易受到网络攻击。在许多应用中,例如IoT网络或紧急故障转移网络，无人机在数据采集中增强并为地面网络中的传感器节点或移动节点提供支持，并且还提高了整体网络性能。在这种情况下,确保无人机网络的安全性和数据的完整性对于实现网络任务目标至关重要。在本文中,我们提出了一种保护无人机自组网的新方法，被称为区块链辅助安全框架(BCSF)。我们证明了所提出的系统通过采用区块链技术来提供安全性，而不会牺牲网络的性能，该技术适用于要通过adhocUAV网络通信的消息的优先级。计算平均延迟的理论分析是基于排队论模型进行的，然后通过仿真对所提出的BCSF方法进行评估，这些仿真在事务延迟方面建立了所提出的方法的优越性能。数据保密,数据恢复,和能源效率。
