Safeguarding Wireless Network with UAVs: A Physical Layer Security Perspective

Wu, Qingqing; Mei, Weidong; Zhang, Rui

doi:10.1109/mwc.001.1900050

Cited by 167 publications

(87 citation statements)

References 16 publications

(28 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interference mitigation is crucial for both frameworks of cellular-connected UAVs and UAVassisted terrestrial communications. Furthermore, the LoSdominant air-ground links also make UAV communications more susceptible to the jamming/eavesdropping attacks by malicious ground nodes as compared to the terrestrial communications over fading channels, thus imposing a new security threat at the physical layer [15].…”

Section: Uav Communications: What's New?mentioning

confidence: 99%

Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

2019

Self Cite

View full text Add to dashboard Cite

Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to bring fertile business opportunities in the next decade. Among various enabling technologies for UAVs, wireless communication is essential and has drawn significantly growing attention in recent years. Compared to the conventional terrestrial communications, UAVs' communications face new challenges due to their high altitude above the ground and great flexibility of movement in the threedimensional (3D) space. Several critical issues arise, including the line-of-sight (LoS) dominant UAV-ground channels and resultant strong aerial-terrestrial network interference, the distinct communication quality of service (QoS) requirements for UAV control messages versus payload data, the stringent constraints imposed by the size, weight and power (SWAP) limitations of UAVs, as well as the exploitation of the new design degree of freedom (DoF) brought by the highly controllable 3D UAV mobility. In this paper, we give a tutorial overview of the recent advances in UAV communications to address the above issues, with an emphasis on how to integrate UAVs into the forthcoming fifth-generation (5G) and future cellular networks. In particular, we partition our discussions into two promising research and application frameworks of UAV communications, namely UAVassisted wireless communications and cellular-connected UAVs, where UAVs serve as aerial communication platforms and users, respectively. Furthermore, we point out promising directions for future research and investigation. KeywordsUnmanned aerial vehicle (UAV), wireless communication, cellular network, channel model, antenna model, energy efficiency, air-ground interference, 3D placement and trajectory, optimization. TechnologyDescription Advantages Disadvantages Direct linkDirect point-to-point communication with ground node Simple, low cost Limited range, low data rate, vulnerable to interference, non-scalable Satellite Communication and Internet access via satellite Global coverage Costly, heavy/bulky/energyconsuming communication equipment, high latency, large signal attenuation Ad-hoc network Dynamically self-organizing and infrastructure-free network Robust and adaptable, support for high mobility Costly, low spectrum efficiency, intermittent connectivity, complex routing protocol Cellular network Enabling UAV communications by using cellular infrastructure and technologies Almost ubiquitous accessibility, cost-effective, superior performance and scalability Unavailable in remote areas, potential interference with terrestrial communications and high reliability/throughput for both air-to-air and airto-ground wireless communications in the three-dimensional (3D) space. Towards this end, four candidate communication technologies are listed and compared in Table III, including i) direct link; ii) satellite; iii) ad-hoc network; and iv) cellular network. In the following, we discuss the advantages as well as limitations of each of these technologies in detail.1) Direct Link: Due to its simpli...

show abstract

Section: Uav Communications: What's New?mentioning

confidence: 99%

Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…This strategy is especially suitable for networks with limited energy and large distance between the source-destination pair, compared with other ways sending signals directly to the destination, e.g. the cooperative remote jamming method in [34].…”

Section: B Contributions Of Our Workmentioning

confidence: 99%

Secrecy and Covert Communications Against UAV Surveillance via Multi-Hop Networks

Wang

Zhang

et al. 2020

IEEE Trans. Commun.

110

View full text Add to dashboard Cite

The deployment of unmanned aerial vehicle (UAV) for surveillance and monitoring gives rise to the confidential information leakage challenge in both civilian and military environments. The security and covert communication problems for a pair of terrestrial nodes against UAV surveillance are considered in this paper. To overcome the information leakage and increase the transmission reliability, a multi-hop relaying strategy is deployed. We aim to optimize the throughput by carefully designing the parameters of the multi-hop network, including the coding rates, transmit power, and required number of hops. In the secure transmission scenario, the expressions of the connection probability and secrecy outage probability of an end-to-end path are derived and the closed-form expressions of the optimal transmit power, transmission and secrecy rates under a fixed number of hops are obtained. In the covert communication problem, under the constraints of the detection error rate and aggregate power, the sub-problem of transmit power allocation is a convex problem and can be solved numerically. Simulation shows the impact of network settings on the transmission performance. The trade-off between secrecy/covertness and efficiency of the multi-hop transmission is discussed which leads to the existence of the optimal number of hops. Index TermsPhysical layer security, unmanned aerial vehicle, covert communication, multi-hop network. DRAFT 6 the two joint distributions under different hypotheses. The optimization of transmit power at each hop turns to be a convex optimization problem and could be solved numerically. The expression of the optimal transmission rate is also derived, and the optimal number of hops is evaluated.Note that though there exist some differences between the secrecy and covert communications in problem construction and solving procedures, the considered problems in secrecy and covert communication parts are closely related. First, both problems aim to guarantee the transmission security in the multi-hop networks. Secrecy communication prevents information being demodulated and covert communication conceals the transmission from being detected by the UAV.Second, there exists a trade-off between the security and efficiency in both secrecy and covert communications. The increase of number of hops will degrade UAV's wiretapping and detecting ability and result in the increase of transmission rate, but more time for receiving information will be required and more chances for wiretapping/detecting signals will be provided. In addition, both problems maximize the end-to-end throughput, and the opposite influence of transmission rate on connection probability and the coding rate which are two important component of the throughput leads to the existence of optimal secrecy rate in secrecy communication and transmissions rate in covert communication. C. Related WorksMore recently, PLS and covert communications have also been extended to multi-hop relaying systems [33], [35]-[37]. Specifically, in [33], the optimal pa...

show abstract

“…numerous applications, UAV communications face new challenges. Among others, due to the LoS links, the legitimate UAV communications are more prone to the interception by suspicious eavesdroppers on the ground [2]. Fortunately, the high mobility of UAVs provides a new opportunity to enhance the secrecy rate of UAV communications by leveraging proper trajectory design.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Maximization for Full-Duplex UAV Secrecy Communication

Duo

Yuan

et al. 2020

IEEE Trans. Veh. Technol.

Self Cite

View full text Add to dashboard Cite

This letter proposes a new full-duplex (FD) secrecy communication scheme for the unmanned aerial vehicle (UAV) and investigates its optimal design to achieve the maximum energy efficiency (EE) of the UAV. Specifically, the UAV receives the confidential information from a ground source and meanwhile sends jamming signals to interfere with a potential ground eavesdropper. As the UAV has limited on-board energy in practice, we aim to maximize the EE for its secrecy communication, by jointly optimizing the UAV trajectory and the source/UAV transmit/jamming powers over a finite flight period with given initial and final locations. Although the problem is difficult to solve, we propose an efficient iterative algorithm to obtain its suboptimal solution. Simulation results show that the proposed joint design can significantly improve the EE of UAV secrecy communication, as compared to various benchmark schemes. Index TermsUAV secrecy communication, full-duplex, energy efficiency, jamming, trajectory design, power control.

show abstract

Safeguarding Wireless Network with UAVs: A Physical Layer Security Perspective

Cited by 167 publications

References 16 publications

Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

Secrecy and Covert Communications Against UAV Surveillance via Multi-Hop Networks

Energy Efficiency Maximization for Full-Duplex UAV Secrecy Communication

Contact Info

Product

Resources

About