论文标题
一个用于感应射频频谱攻击医疗输送无人机的集成框架
An Integrated Framework for Sensing Radio Frequency Spectrum Attacks on Medical Delivery Drones
论文作者
论文摘要
无人机对GP，RF，Wi-Fi和运营商的攻击攻击的敏感性为未来的医疗输送系统带来了危险。能够感测无人机攻击的检测框架可以为主动响应提供能力。干扰攻击的识别适用于医疗交付，灾区救济和FAA执法，以防止非法干扰活动。文献中存在一个差距，用于识别射频频谱攻击，以识别基于单人或群的无人机。添加到无人机中的任何非交付特定功能（例如攻击感应）都涉及体重增加和额外的复杂性。因此，该值必须超过缺点。医疗交付，高价值货物和灾区应用程序可能会提出一个价值主张，以克服额外费用。该论文研究了针对无人机的攻击类型，并描述了设计具有主动响应功能的攻击检测系统的框架，以提高交付和其他医疗应用的可靠性。
Drone susceptibility to jamming or spoofing attacks of GPS, RF, Wi-Fi, and operator signals presents a danger to future medical delivery systems. A detection framework capable of sensing attacks on drones could provide the capability for active responses. The identification of interference attacks has applicability in medical delivery, disaster zone relief, and FAA enforcement against illegal jamming activities. A gap exists in the literature for solo or swarm-based drones to identify radio frequency spectrum attacks. Any non-delivery specific function, such as attack sensing, added to a drone involves a weight increase and additional complexity; therefore, the value must exceed the disadvantages. Medical delivery, high-value cargo, and disaster zone applications could present a value proposition which overcomes the additional costs. The paper examines types of attacks against drones and describes a framework for designing an attack detection system with active response capabilities for improving the reliability of delivery and other medical applications.
