Implementation of a Wireless Time Distribution Testbed Protected with Quantum Key Distribution

Bonior, Jason; Evans, Philip G.; Sheets, Greg; Jones, John Paul; Flynn, Toby; O'Neil, Lori Ross; Hutton, William R.; Pratt, Robert G.; Carroll, Thomas E.

doi:10.1109/wcnc.2017.7925710

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Bonior et al 4 proposed a secret authentication based on quantum key distribution (QKD). In the process of signal transmission, GPS clock is transmitted through two or more trusted entities (beacons) connected by QKD to ensure the communication security.…”

Section: Methods Based On Cryptographymentioning

confidence: 99%

“…We compare our scheme with the existing scheme 4,10,25 in the same simulation setting. It is pointed out that when the time cost of communication link in the UAV system exceeds 100 ms, the measurability of relevant parameters will usually decline, and the flight quality cannot be guaranteed when it is about 250 to 300 ms. 26 First, we analyze the relationship between the time overhead of effective communication of the UAV system and the number of formation members in each scheme.…”

Section: Simulationmentioning

confidence: 99%

“…It is pointed out that when the time cost of communication link in the UAV system exceeds 100 ms, the measurability of relevant parameters will usually decline, and the flight quality cannot be guaranteed when it is about 250 to 300 ms. 26 First, we analyze the relationship between the time overhead of effective communication of the UAV system and the number of formation members in each scheme. It can be seen from Figure 10, in the GPS spoofing detection scheme based on cryptography, 4 the communication overhead will seriously affect the normal operation of the UAV system with the increase of formation members. Therefore, in the following comparative experiments, we will not include this method in the scope of comparison; Ho et al 24 proposed the Crowd-GPS-Sec based GPS spoofing scheme to counter GPS spoofing attacks.…”

Section: Simulationmentioning

confidence: 99%

“…As shown in Figure 1, it is an intentional interference that mislead a GPS sensor receive counterfeit signals. [4][5][6][7] GPS spoofing is often divided into two types 8 : (1) Transmitting spoof is to capture the real GPS signals, and add a certain delay, then send them to the target; (2) Generative spoof is relatively more complicated. Attackers use a simulator to forge rogue signals matching the genuine signals' phase, code delay, and encoded data, and transmit them to the victim through matrix antenna.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Detection of global positioning system spoofing attack on unmanned aerial vehicle system

Chen

Miao

et al. 2020

Concurrency and Computation

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Most of the existing global positioning system (GPS) spoofing detection schemes are vulnerable to the generative GPS spoofing attack, or require additional auxiliary equipment and extensive signal processing capabilities, leading to defects such as low real-time performance and large communication overhead which are not available for the unmanned aerial vehicle (UAV, also known as drone) system. Therefore, we propose a novel solution which employs information fusion based on the GPS receiver and inertial measurement unit. We use a real-time model of tracking and calculating to derive the current position of the drones which are then contrasted with the position information received by the receiver to verify whether the presence or absence of spoofing attack. Subsequent experimental work shows that, the proposed method can accurately detect the spoof within 8 seconds, with a detection rate (DR) of 98.6%. Compared with the existing schemes, the performance of real-time detecting is improved while the DR is ensured. Even in our worst-case, we detect the spoof within 28 seconds after the UAV system starts its mission.

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Section: Methods Based On Cryptographymentioning

confidence: 99%

Section: Simulationmentioning

confidence: 99%