用网络化无人机防御群抵御恶意无人机入侵
Defending against Intrusion of Malicious UAVs with Networked UAV Defense Swarms
AI总结：
本文提出了一种无人机防御系统，通过自组织防御编队拦截并护送恶意无人机至飞行区外，采用模块化设计和自平衡聚类算法，实现通信损失下的鲁棒性。
摘要：
如今，亚马逊、阿里巴巴等公司正推动使用无人机（UAVs）提供服务，如包裹和食品配送。随着政府希望利用无人机带来的巨大经济利益，城市规划者正在将所谓的无人机飞行区和无人机高速公路纳入智能城市设计。然而，无人机的高速移动和行为动态需要监控以检测并处理入侵者、 rogue drones 和恶意无人机。本文提出了一种无人机防御系统，旨在拦截并护送恶意无人机至飞行区外。所提出的无人机防御系统由一个能够自行组织防御编队的防御无人机群组成，并在检测到入侵者时形成拦截和捕获编队。我们采用了模块化设计原则，开发了一种创新的自平衡聚类过程来实现拦截和捕获编队。结果表明，所得到的网络化防御无人机群对通信损失具有鲁棒性。最后，实现了一个原型无人机模拟器。通过广泛的模拟，我们展示了该方法的可行性和性能。
英文摘要：
Nowadays, companies such as Amazon, Alibaba, and even pizza chains are pushing forward to use drones, also called UAVs (Unmanned Aerial Vehicles), for service provision, such as package and food delivery. As governments intend to use these immense economic benefits that UAVs have to offer, urban planners are moving forward to incorporate so-called UAV flight zones and UAV highways in their smart city designs. However, the high-speed mobility and behavior dynamics of UAVs need to be monitored to detect and, subsequently, to deal with intruders, rogue drones, and UAVs with a malicious intent. This paper proposes a UAV defense system for the purpose of intercepting and escorting a malicious UAV outside the flight zone. The proposed UAV defense system consists of a defense UAV swarm, which is capable to self-organize its defense formation in the event of intruder detection, and chase the malicious UAV as a networked swarm. Modular design principles have been used for our fully localized approach. We developed an innovative auto-balanced clustering process to realize the intercept- and capture-formation. As it turned out, the resulting networked defense UAV swarm is resilient against communication losses. Finally, a prototype UAV simulator has been implemented. Through extensive simulations, we show the feasibility and performance of our approach.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
