Secure <scp>mm‐Wave</scp> communications with imperfect hardware and uncertain eavesdropper location

Mashdour, Saeed; Moradikia, Majid; Yeoh, Phee Lep

doi:10.1002/ett.4016

Cited by 9 publications

(8 citation statements)

References 41 publications

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“…The principle of PLS is to opportunistically exploit the random characteristics of fading channels, where the legitimate link is expected to experience a better condition than that of the eavesdroppers (Eve) [4]- [10]. Among different multi-antenna techniques, beamforming and jamming have been extensively utilized as the most effective techniques for guaranteeing secure communication 1 [6]- [8]. While jamming is capable of intentionally injecting specifically designed Artificial Noise (AN) for confusing the Eves.…”

Section: Introductionmentioning

confidence: 99%

Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks

Bastami

Moradikia

Abdelhadi

et al. 2022

IEEE Trans. Veh. Technol.

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Although Unmanned Aerial Vehicles (UAVs) are capable of significantly improving the information security by detecting the eavesdropper's location, their limited energy motivates our research to propose a secure and energy efficient scheme. Thanks to the common-message philosophy introduced by Rate-Splitting (RS), we no longer have to allocate a portion of the transmit power to radiate Artificial Noise (AN), and yet both the Energy Efficiency (EE) and secrecy can be improved. Hence we define and study the Secrecy Energy Efficiency (SEE) of a multi-carrier multi-UAV network, in which Cooperative Rate-Splitting (CRS) is employed by each multi-antenna UAV Base-Station (UAV-BS) for protecting their downlink transmissions against an external eavesdropper (Eve). Furthermore, we consider the challenging scenario in which CRS is employed by each multi-antenna UAV-BS to protect their corresponding downlink transmissions against an external Eve. We further consider a difficult scenario in terms of security in which only imperfect channel state information of Eve is available at the Tx. Accordingly, we conceive a robust secure resource allocation algorithm, which maximizes the SEE by jointly optimizing both the user association matrix and the network parameter allocation problem, including the RS precoders, time slot sharing and power allocation. Due to the non-convexity of the problem, it is decoupled into a pair of convex sub-problems. Firstly, new two-tier intra-cell optimization problems are formulated for achieving ξ-optimal solutions by iterative block coordinate decent programming. Then, the power of each sub-channel is optimized by formulating the associated power control problem. Simulation results confirm that the scheme conceived enhances both the secrecy and energy efficiency of the system compared to the existing cooperative non-orthogonal benchmarks.

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Section: Introductionmentioning

confidence: 99%

Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks

Bastami

Moradikia

Abdelhadi

et al. 2022

IEEE Trans. Veh. Technol.

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“…decade as a promising technique of enhancing the secrecy of wireless communications [1]- [10]. A pair of proposed PLS solutions, namely beamforming and jamming techniques have been particularly extensively exploited [3], [4], [6]- [9]. However, the performance of these PLS schemes critically relies on the availability of near-perfect Channel State Information at the Tx (CSIT), particularly in multi-user systems 1 [10], [11].…”

Section: Introductionmentioning

confidence: 99%

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

Bastami

Letafati

Moradikia

et al. 2021

IEEE Trans.Inform.Forensic Secur.

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“…Reference 16 maximizes the SR in a device‐to‐device communication link through optimal power allocation. Last but not the least, Reference 17 utilizes artificial noise along with optimal power allocation to maximize the SR in a millimeter‐wave communication link.…”

Section: Introductionmentioning

confidence: 99%

Maximizing secrecy rate of an orthogonal frequency division multiplexing‐based multihop underwater acoustic sensor network

Aman

Rahman

Haider

et al. 2020

Trans Emerging Tel Tech

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In this article, we consider an eavesdropping attack on a multihop, underwater acoustic sensor network that consists of M + 1 underwater sensors which report their sensed data via orthogonal frequency division multiplexing (OFDM) scheme to a sink node on the water surface. Furthermore, due to the presence of a passive malicious node in nearby vicinity, the multihop underwater acoustic (UWA) channel between a sensor node and the sink node is prone to eavesdropping attack on each hop. Therefore, the problem at hand is to do (helper/relay) node selection (for data forwarding onto the next hop) as well as power allocation (across the OFDM subcarriers) in a way that the secrecy rate is maximized at each hop. To this end, this problem of node selection and power allocation (NSPA) is formulated as a mixed binary‐integer optimization program, which is then optimally solved via decomposition approach, and by exploiting duality theory along with the Karush‐Kuhn‐Tucker conditions. We also provide a computationally efficient, suboptimal solution to the NSPA problem, where we reformulate it as a mixed‐integer linear program and solve it via decomposition and geometric approach. Moreover, when the UWA channel is multipath (and not just line‐of‐sight), we investigate an additional, machine learning‐based approach to solve the NSPA problem. Finally, we compute the computational complexity of all the three proposed schemes (optimal, suboptimal, and learning‐based), and do extensive simulations to compare their performance against each other and against the baseline schemes (which allocate equal power to all the subcarriers and do depth‐based node selection). In a nutshell, this work proposes various (optimal and suboptimal) methods for providing information‐theoretic security at the physical layer of the protocol stack through resource allocation.

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Secure mm‐Wave communications with imperfect hardware and uncertain eavesdropper location

Cited by 9 publications

References 41 publications

Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks

Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks

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

Maximizing secrecy rate of an orthogonal frequency division multiplexing‐based multihop underwater acoustic sensor network

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