Next Generation Security And Surveillance System Using Autonomous Vehicles

Ayub, M Furqan; Ghawash, Faiq; Shabbir, Maryam; Kamran, M.; Butt, Farhan Ahmed

doi:10.1109/upinlbs.2018.8559744

Cited by 12 publications

(2 citation statements)

References 14 publications

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“…Terrorists or criminals may use UAVs to establish wireless communications for committing crimes and terrorism [6,7]. For instance, the eavesdroppers in the UAV communication networks can overhear the secure message, thus improving the capacity of communication network by reporting faked channel state information on the basis of the continuously changing channel environments [8,9]. More seriously, criminals can use UAV communication networks to commit bombing activities, and business spies may use them to filch trade secrets.…”

Section: Introductionmentioning

confidence: 99%

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Eavesdropping and Jamming Selection Policy for Suspicious UAVs Based on Low Power Consumption over Fading Channels

Wang

Guo

et al. 2019

Sensors

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Traditional wireless security focuses on preventing unmanned aerial vehicle (UAV) communications from suspicious eavesdropping and/or jamming attacks. However, there is a growing need for governments to keep malicious UAV communications under legitimate surveillance. This paper first investigates a new surveillance paradigm for monitoring suspicious UAV communications via jamming suspicious UAVs. Due to the power consumption limitation, the choice of eavesdropping and jamming will reflect the performance of the UAVs communication. Therefore, the paper analyses the UAV’s eavesdropping and jamming models in different cases, and then proposes the model to optimize the data package in the constraints of lower power consumption, which can be solved by the proposed selection policy. The simulation results validate our proposed selection policy in terms of power consumption and eavesdropped packets. In different fading models, power consumption increases with time, regardless of distances, and our proposed policy performs better in Weibull fading channels in terms of eavesdropped packets.

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Section: Introductionmentioning

confidence: 99%

“…In this scenario, we assume that the suspicious pair of UAVs (known as UAV ST and UAV SR ) has been detected by authorized agencies at the beginning, and they are eavesdropped by a legitimate UAV monitor ( UAV L ). Suspicious users’ detection and association can be referred to in Reference [9].…”

Section: Introductionmentioning

confidence: 99%