2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE 2020
DOI: 10.1109/emceurope48519.2020.9245834
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Response of the UAV Sensor System to HPEM Attacks

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Cited by 23 publications
(10 citation statements)
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“…Refs. [ 39 , 40 , 41 ] used a pulse signal as the interference source; however, Refs. [ 42 , 43 , 44 ] demonstrated that continuous waves can also act as interference sources.…”
Section: Review Of Intentional Electromagnetic Interferencementioning
confidence: 99%
See 1 more Smart Citation
“…Refs. [ 39 , 40 , 41 ] used a pulse signal as the interference source; however, Refs. [ 42 , 43 , 44 ] demonstrated that continuous waves can also act as interference sources.…”
Section: Review Of Intentional Electromagnetic Interferencementioning
confidence: 99%
“…In [ 41 ], the authors investigated the impact of narrowband high-power electromagnetic pulses characterized by frequencies between 100 MHz and 3.4 GHz on a commercial quadcopter. They established a system that can monitor the sensor data of drones in real time and applied an HPEM ramp signal so that the amplitude of the pulse increases linearly.…”
Section: Review Of Intentional Electromagnetic Interferencementioning
confidence: 99%
“…e numerical modeling of various EMIs, their experimental testing, and proposals on EMC are considered. In [27], the researchers investigate the influence of intentional EMI on the sensors of a UAV, which is a small serial quadrocopter. e interfering signal is a narrowband high-power electromagnetic pulse characterized by frequencies between 100 MHz and 3.4 GHz and field strengths that are above the immunity levels required by EMC standards.…”
Section: Brief Review Of Related Scientific Workmentioning
confidence: 99%
“…Two recent papers (Giechaskiel and Rasmussen, 2020;Yan et al, 2020) summarized the different attacks and threats on analog sensors using direct power and remote signal injection. The previous described attacks are using low power in comparison to High-Power Electromagnetics (HPEM) attacks, also employed either to destroy hardware components or to induce false readings in sensor systems, for example on UAV sensor system (Esteves et al, 2018;Lubkowski et al, 2020). These sensor-based threats can pose a significant risk to IoT systems and applications compared to conventional attacks.…”
Section: Introductionmentioning
confidence: 99%