2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2020
DOI: 10.1109/smc42975.2020.9283478
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A Framework for Sensing Radio Frequency Spectrum Attacks on Medical Delivery Drones

Abstract: 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 … Show more

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Cited by 7 publications
(4 citation statements)
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References 31 publications
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“…Kulp and Mei (2020) identify types of cyber‐attacks against delivery UAVs which would aid in designing an attack detection system. They show a range vector can be used to maliciously manipulate the navigation system of the UAV with hostile intent.…”
Section: Design Environmental and Legislative Constraintsmentioning
confidence: 99%
See 1 more Smart Citation
“…Kulp and Mei (2020) identify types of cyber‐attacks against delivery UAVs which would aid in designing an attack detection system. They show a range vector can be used to maliciously manipulate the navigation system of the UAV with hostile intent.…”
Section: Design Environmental and Legislative Constraintsmentioning
confidence: 99%
“…Alternatively, the hacker could predict the frequency‐hopping spread spectrum pattern by reverse‐engineering the transmitter or receiver. With delivery systems, malicious actors may be interested in the theft of packages or disruption of service (Kulp & Mei, 2020). Hardware used for detecting these threats increases the weight and complexity of the UAV.…”
Section: Design Environmental and Legislative Constraintsmentioning
confidence: 99%
“…Different conclusions were drawn using this model with a simulation dataset. [15] presented a framework for attack detection that could be used to protect the environment of medical delivery drones with active capability, delivery reliability, and other medical applications.…”
Section: Plos Onementioning
confidence: 99%
“…This rapid ascent in demand is due to numerous factors, such as the integration of advanced technologies, cost-effectiveness, and the ability to perform autonomous tasks without human intervention [2] [3]. The inclination to use low-cost UAVs in a diverse range of industries, agriculture, logistics, medicine, media, and the advent of advanced applications, such as remote sensing, have further contributed to the surging demand [4] [5].…”
Section: Introductionmentioning
confidence: 99%