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International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

Secrecy performance analysis on spatial modeling of wireless communications with unmanned aerial vehicle and ground devices

Hồ Văn Cừu, Hong-Nhu Nguyen, Si-Phu Le, Miroslav Vozn̆ák

Published Sep 24, 2023• 1 citation
Publisher

Abstract

In this paper, the secrecy performance of the spatial modeling for ground devices with randomly placed eavesdroppers when an unmanned aerial vehicle (UAV) acted as two hops decode and forward (DF) was investigated. We characterize the secrecy outage probability (SOP) and intercept probability (IP) expressions. Our capacity performance analysis is based on the Rayleigh fading distributions. After analytical results by Monte Carlo simulation, and the Gauss-Chebyshev parameter was selected to yield a close approximation, the results demonstrate the SOP with the average signal-to-noise ratio (SNR) between UAV and ground users among the eavesdroppers and the IP relationship with the ability to intercept the information of the ground users successfully.

DOI
10.11591/ijece.v13i6.pp6410-6418

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In this paper, the secrecy performance of the spatial modeling for ground devices with randomly placed eavesdroppers when an unmanned aerial vehicle (UAV) acted as two hops decode and forward (DF) was investigated. We characterize the secrecy outage probability (SOP) and intercept probability (IP) expressions. Our capacity performance analysis is based on the Rayleigh fading distributions. After analytical results by Monte Carlo simulation, and the Gauss-Chebyshev parameter was selected to yield a close approximation, the results demonstrate the SOP with the average signal-to-noise ratio (SNR) between UAV and ground users among the eavesdroppers and the IP relationship with the ability to intercept the information of the ground users successfully.
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, 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.
In this article, we study the secrecy performance of an unmanned aerial vehicle (UAV)-assisted relay communication system, where a ground base station (GBS) intends to send confidential information to the ground legitimate user Bob with the help of a UAV relay in the presence of multiple aerial and ground eavesdroppers. We consider the height-dependent probabilistic line-of-sight and the generalκ\kappaκ-μ\muμshadowed channel fading model in the system. To enhance the secrecy performance, the GBS and UAV relay apply directional beamforming transmission while implementing protection zones around their intended receiving destinations. We then derive the approximate closed-form expressions of the secrecy outage probability (SOP) under different aerial and ground eavesdropperscolluding strategies. To get insights, we also obtain the SOP expression over Rayleigh fading as a special case. After discussing the impacts of transmitting and multiple aerial and ground eavesdropping parameters on the SOP, we show that the optimal altitude of UAV relay exists with the minimal SOP value under different urban environments. We also show that UAV eavesdroppers have a larger effect on the system performance than ground eavesdroppers.
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.
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.