On Secure UAV Communication Systems with Randomly Located Eavesdroppers

Abstract

Unmanned aerial vehicles (UAVs) play an essential role in future wireless communication networks due to their high mobility, low cost, and on-demand deployment. In air-toground links, UAVs are widely used to enhance the performance of wireless communication systems due to the presence of highprobability line-of-sight (LoS) links. However, the high probability of LoS links also increases the risk of being eavesdropped, posing a significant challenge to the security of wireless communications. In this work, the secure communication problem in a multi-UAV-assisted communication system is investigated in a moving airborne eavesdropping scenario. To improve the secrecy performance of the considered communication system, aerial eavesdropping capability is suppressed by sending jamming signals from a friendly UAV. An optimization problem under flight conditions, fairness, and limited energy consumption constraints of multiple UAVs is formulated to maximize the fair sum secrecy throughput. Given the complexity and non-convex nature of the problem, we propose a two-step-based optimization approach. The first step employs the K-means algorithm to cluster users and associate them with multiple communication UAVs. Then, a multi-agent deep deterministic policy gradient based algorithm is introduced to solve this optimization problem. The effectiveness of this proposed algorithm is not only theoretically but also rigorously verified by simulation results.

Physical Layer Security for UAV Communications in 5G and Beyond Networks

“…Analysis has been extended for different roles of UAV, e.g., receiver [104]- [106], relay [51], [107], or jammer [54]. Among these research works, the general methodologies adopted are similar, i.e., describing the inter-node distance distribution according to their location distribution, and further relating the distance to secrecy performance metrics.…”

Downlink User Power Allocation and Joint Rate Maximization in UAV-Relayed Assisted SWIPT-NOMA System

“…Proposed a power allocation scheme for circular orbit NOMA-UAV network, which maximizes the total rate of ordinary users while ensuring the security of specific users. Considering the energy limitation of UAV, the UAV system with NOMA was also studied in [18,19,20,21,22,23,24]. In reference X Sun et al [18], the closed expressions of security outage probability and effective security throughput in simultaneous wireless information and power transmission (SWIPT) UAV network with directional modulation scheme are derived.…”

“…Considering that the legal UAV receiver and eavesdropping UAV are randomly distributed, the analytical expressions of SOP and average confidentiality rate of UAV Communication system are derived in [21]. The author in [22] studied the security performance of NOMA-UAV network under three different eavesdropping situations, such as one eavesdropper, noncollusive eavesdropper and collusive eavesdropper. A new cooperative jamming scheme is proposed in [23], which is based on SWIPT UAV auxiliary NOMA system with multiple ground passive receivers to enhance the security performance.…”