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IEEE Wireless Communications Letters

Secure UAV-to-UAV Systems With Spatially Random UAVs

Jia Ye, Chao Zhang, Hongjiang Lei, Gaofeng Pan, Zhiguo Ding

Published Nov 6, 2018• 127 citations
Publisher

Abstract

In this letter, we investigate the secrecy performance of an unmanned aerial vehicle (UAV)-to-UAV system, where a UAV acts as the source (${S}$) transmitting information to a legitimate UAV receiver while a group of UAVs trying to eavesdrop the information delivery between${S}$and legitimate UAV receiver. The locations of the legitimate UAV receiver and the eavesdropping UAVs are randomly distributed in the coverage space of${S}$. We first characterize the statistical characteristics of the signal-to-noise ratio over${S}$to the legitimate UAV receiver links; and then the closed-form analytical expressions for secrecy outage probability and the average secrecy capacity have also been derived accordingly. Finally, Monte-Carlo simulations are carried out to verify our proposed analytical models.

DOI
10.1109/lwc.2018.2879842

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In this letter, we investigate the secrecy performance of an unmanned aerial vehicle (UAV)-to-UAV system, where a UAV acts as the source (S{S}S) transmitting information to a legitimate UAV receiver while a group of UAVs trying to eavesdrop the information delivery betweenS{S}Sand legitimate UAV receiver. The locations of the legitimate UAV receiver and the eavesdropping UAVs are randomly distributed in the coverage space ofS{S}S. We first characterize the statistical characteristics of the signal-to-noise ratio overS{S}Sto the legitimate UAV receiver links; and then the closed-form analytical expressions for secrecy outage probability and the average secrecy capacity have also been derived accordingly. Finally, Monte-Carlo simulations are carried out to verify our proposed analytical models.
In this paper, an unmanned aerial vehicle (UAV) to ground communication system with spatially random eavesdroppers account on both ground and airspace is considered. UAV tries to transmit information to a legitimate receiver on the ground while a group of eavesdroppers on the ground and another group of eavesdropping UAVs in the airspace try to overhear the delivered information. The locations of all terminals are randomly distributed in the coverage space of the source UAV. The statistical characteristics of the received signal-to-noise ratio at all terminals considering two kinds of communication environment are characterized. The analytical expressions for secrecy outage probability are derived. Finally, simulation is carried out to verify the correctness of our analytical model.
Unmanned aerial vehicles (UAVs) will be extensively utilized in various Internet of Things (IoT) scenarios due to their flexible mobility and rapid on-demand deployment. It becomes necessary and urgent to investigate the secrecy performance of the UAV IoT communication systems because of the open characteristics of wireless channels. In this article, the physical layer security of UAV IoT communication systems is studied, in which a ground IoT device transmits some confidential messages to a UAV hovering in the air, while a random number of eavesdroppers are randomly positioned around the ground source. The ground-to-air channel is assumed to experience Rician fading for the case of line-of-sight propagation and Rayleigh fading for the case of nonline-of-sight propagation, respectively. In addition, in order to improve the security of the system, we also investigate the secrecy performance of the UAV IoT system with a friendly UAV that generates jamming signals to distract the eavesdroppers. Utilizing the stochastic geometry theory, the cumulative distribution functions for the signal-to-interference-plus-noise ratio of the main and eavesdropping links are derived, and then the analytical expressions of the secrecy outage probability and the average secrecy rate are obtained. Finally, the accuracy of the analytical results is verified by Monte Carlo simulation.
Unmanned aerial vehicles (UAVs) have been extensively utilized in various scenarios due to their flexible mobility and rapid on-demand deployment. It becomes necessary and urgent to examine the secrecy performance of the UAV communication systems due to the open characteristics of the transmission technologies employed in UAV systems. In this paper, we investigate the physical layer security of the UAV communication system, in which the ground base station sends secret messages to the UAV hovering in the air, while a random number of eavesdroppers are randomly located around the ground base station. Using the Poisson point process theory, we obtain the exact and approximate expressions of the cumulative distribution function for the signal-to-noise ratio of the ground-to-air link, and then the analytical expressions of the secrecy outage probability and the average secrecy rate are derived. Finally, the accuracy of the analytical results is validated by Monte Carlo simulation.
By observing the fact that moving in a straight line is a common flying behavior of unmanned aerial vehicles (UAVs) in normal applications, e.g., power line inspections, and air patrols along with highway/streets/borders, in this paper we investigate the secrecy outage performance of a UAV system with linear trajectory, where a UAV (S) flies in a straight line and transmits its information over the downlink to a legitimate receiver (D) on the ground while an eavesdropping UAV (E) trying to overhear the information delivery between S and D. Meanwhile, some information is delivered to S over the uplink from D, such as commanding messages to control S's detecting operations, which can also be eavesdropped by E. The locations of S, D, and E are randomly distributed. We first characterize the statistical characteristics (including cumulative distribution functions and probability density function) of the received signal-to-noise ratio over both downlink and uplink, and then the closed form analytical expressions for the lower boundary of the secrecy outage probability of both downlink and uplink have also been derived accordingly. Finally, Monte-Carlo simulations are given to testify our proposed analytical models.
Abstract In this research work, we study the secrecy performance of Unmanned aerial vehicles (UAVs) in the vicinity of an interfering and eavesdropping UAVs. More precisely, firstly a case when the ground user communicates with the intended UAV where two unwanted UAVs operate in the vicinity, has been investigated. It is also considered that the wiretapping UAV also suffers interference from different UAV. The modelling of the UAV communication system considers the impact of small-scale fading, line-of-sight (LoS) probability, altitude and 3D coordinate of all the three involved UAVs. To this end, analytical expression has been derived for the secrecy outage probability (SOP) for the system considering simultaneous effects of eavesdropping and interference. The analysis for secrecy capacity has also been conducted to derive analytical formula. The results are extended to a case when multiple interfering and eavesdropping UAVs function to derive the expression for the SOP. Importantly, the numerical simulation of the derived results show that the effect of eavesdropper can be minimized by placing an interferer in the vicinity of the wiretap source. Moreover, the impact of power transmitted during wiretapping by the eavesdropper appears to be more compared to distance from intended UAV.
In this paper, we examine the security issue of unmanned aerial vehicle (UAV)-aided communication systems. We consider the scenario where a source communicates with a legitimate UAV in the presence of a full-duplex eavesdropper. We assume that the full-duplex eavesdropper performs both eavesdropping and malicious jamming simultaneously. In order to safeguard data transmissions against such an eavesdropper, the source transmits artificial noise (AN) signals together with information signals. We adopt the hybrid outage probability as the performance metric, which combines the transmission outage probability and the secrecy outage probability. We derive a compact expression for the hybrid outage probability. Using the derived expression, we determine the optimal power allocation factor between information signals and AN signals that minimizes the hybrid outage probability. In addition, we examine the impact of the operating height of UAV on the secrecy performance, showing that the optimal secrecy performance can be achieved by judiciously controlling the height of UAV.