On the Physical Layer Security of the Cooperative Rate-Splitting-Aided Downlink in UAV Networks

Bastami, Hamed; Letafati, Mehdi; Moradikia, Majid; Abdelhadi, Ahmed; Behroozi, Hamid; Hanzo, Lajos

doi:10.1109/tifs.2021.3122989

Cited by 27 publications

(18 citation statements)

References 44 publications

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“…Furthermore, employing transmit beamforming can improve the throughput of the legitimate user while managing the throughput of the wiretapped signal at the eavesdroppers, hence enhancing PHY security. Numerous research works [97], [106], [166], [167], [168], [169], [170], [171], [172], [173], [174], [175], [176], [177], [183] have considered NOMA/beamforming techniques in UAV networks in order to enhance the network security. A brief overview of these works is presented in Table 12.…”

Section: Uav-aided Noma and Beamforming Methodsmentioning

confidence: 99%

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Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

et al. 2022

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Unmanned aerial vehicles (UAVs) have been instrumental in enabling many new applications and services, including military and rescue operations, aerial surveillance, civilian applications, precision farming, as well as providing extensive wireless network access in remote areas. They have also been used in other areas such as transmission line and oil rig monitoring, disaster recovery, etc. With their increasing payload ability and flight duration, using UAVs is a preferred choice for a multitude of upcoming wireless communication systems. However, because of their open operational nature, UAVs are highly vulnerable to severe security breaches via cyber attacks, eavesdropping on navigational and communication links, etc. Given their widespread applications, the requirement of secured UAV communications has become more and more critical since security failures can lead to detrimental consequences. Several works have examined the extent of privacy and security issues in UAV-assisted networks and introduced various mitigation techniques to address different security challenges. In this paper, a comprehensive survey is conducted that centers on the security issues related to UAV-aided networks. A descriptive taxonomy of various security intrusions on the UAV networks and commonly-used secrecy performance metrics are thoroughly reviewed. An in-depth discussion is provided on alleviating threats with proactive security techniques blended with key wireless communication technologies such as mmWave, non-orthogonal multiple access (NOMA), massive multiple-input multiple-output (MIMO), and cognitive radio. Moreover, several emerging topics like machine learning, software-defined networks, fog and edge computing, blockchain, are discussed in the context of UAV-aided secure communications.INDEX TERMS Physical layer security, unmanned aerial vehicles (UAVs), proactive mitigation techniques, secrecy metrics, emerging wireless technologies.GAURAV KUMAR PANDEY (Graduate Student Member, IEEE) received the B.Tech. degree in electrical and electronics engineering from the

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Section: Uav-aided Noma and Beamforming Methodsmentioning

confidence: 99%

“…A suboptimal solution was obtained by utilizing semi-definite relaxation and alternating optimization. Further, the authors in [176] have evaluated the maximum-minimum secrecy fairness of a UAV-aided cellular network with a two-user MISO system.…”

Section: Uav-aided Noma and Beamforming Methodsmentioning

confidence: 99%

Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

et al. 2022

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“…First, define f (11) (g 2 ) = Csρ(a2g2+ρ)+2 Rs a1ρg2 −Csa1a2g2+a1ρ−Csa2(a2g2+ρ) and f (12) (g 2 ) = ρ(Csρ+2 Rs a1g2) a1ρ−Csa2ρ−2 Rs a1a2g2 . With regard to the events shown in (22) and (24), considering non-negative g 1 and g 2 , and following a similar approach as in Lemma 4 along with simple algebraic manipulations, shows that the inequality a1 a2 > C s must hold. As such, E (i) s is reformulated as…”

Section: Proof Of Theoremmentioning

confidence: 99%

“…Besides, by enabling cooperation, improvement in the secrecy sum-rate of RSMA in the presence of external eavesdropping was demonstrated in [22], [23]. Cooperative RS was also considered at an aerial base station to protect the secrecy of a two-user system against an external eavesdropper [24]. Deploying RSMA in a system with two legitimate users and a potential eavesdropper was also studied in [25], which addressed the maximization of the minimum achievable secrecy rate.…”

Section: A Contextmentioning

confidence: 99%

Rate Splitting in the Presence of Untrusted Users: Outage and Secrecy Outage Performances

Abolpour

Aı̈ssa

Musavian

et al. 2022

IEEE Open J. Commun. Soc.

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In this contribution, a thorough investigation of the performance of rate splitting is conducted in terms of outage and secrecy outage for the simultaneous service to a near user and far user, where the latter attempts to overhear the message of the former. The source transmits a linear combination of the users' common stream and private streams. Once the common stream is retrieved, two decoding strategies can be adopted by each user. In the first strategy, the nodes (near or far) treat the far user's private stream as noise to retrieve the private stream of the near user, then the far user decodes its own stream. In the second strategy, the nodes decode the far user's private stream by treating the one of the near user as noise, then the near user retrieves its private stream while the far user decodes the stream of the near user in its attempt to overhear it. Considering the four decoding combinations, we obtain exact closed-form expressions for the outage probability, and provide tight approximations for the secrecy outage probability. Comparative results are also provided. In particular, it is shown that to achieve better outage probability, with no concern about secrecy, once the decoding of the common stream is completed, each user should first retrieve the private stream with lower target data rate by treating the other private stream as noise. To improve the secrecy outage probability, once the common stream is decoded, the near user must first decode the far user's private stream, and the far user should first retrieve the private stream with lower target data rate.

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“…The authors in this work proposed secure RS transmission scheme which advocates the dual use of the common message as a desired message and artificial noise. In [27] the max-min secrecy fairness of cellular networks was investigated, in which cooperative RS aided down-link transmissions are employed. A novel application of RSMA for joint communications and jamming with a Multi-Carrier waveform in a multi-antenna Cognitive Radio was proposed in [28].…”

Section: Introductionmentioning

confidence: 99%

Secure Rate Splitting Multiple Access: How Much of the Split Signal to Reveal?

Salem

Masouros

Clerckx

2023

IEEE Trans. Wireless Commun.

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Rate Splitting Multiple Access (RSMA) relies on multi-antenna rate splitting (RS) at the transmitter and successive interference cancellation (SIC) at the receiver. In RS the users' messages are split into a common message and private messages, where the common part is first decoded by the all users, while the private part is decoded only by the intended user using SIC technique. This split of the users' signals into common and private parts raises some interesting tradeoffs between maximizing sum rate versus secrecy rate. In this work we consider the secrecy performance of RSMA in multi-user multiple-input single-output (MU-MISO) systems, where secrecy is defined by the ability of any user to decode the signal intended for user k in the system. To that end, new analytical expressions for the ergodic sum-rate and ergodic secrecy rate are derived for two closed-form precoding techniques of the private messages, namely, 1) zero-forcing (ZF) precoding approach, 2) minimum mean square error (MMSE) approach. Then, based on the analytical expressions of the ergodic rates, novel power allocation strategies that maximize the sum-rate subject to a target secrecy rate for the two precoding schemes are presented and investigated. Our Monte Carlo simulations show a close match with our theoretical derivations. They also reveal that, by tuning the split of the messages, our power allocation approaches provide a scalable tradeoff between rate benefits and secrecy.

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On the Physical Layer Security of the Cooperative Rate-Splitting-Aided Downlink in UAV Networks

Cited by 27 publications

References 44 publications

Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

Rate Splitting in the Presence of Untrusted Users: Outage and Secrecy Outage Performances

Secure Rate Splitting Multiple Access: How Much of the Split Signal to Reveal?

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