Physical Layer Security Analysis of Cognitive NOMA Internet of Things Networks

Li, Meiling; Yuan, Hu; Maple, Carsten; Cheng, Wenjie; Epiphaniou, Gregory

doi:10.1109/jsyst.2022.3190297

Cited by 17 publications

(12 citation statements)

References 32 publications

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“…Notice that the PLS performance of SU was overlooked in [29]- [30], while that of PU was ignored in [31]. The authors of [32] have analyzed the intercept probability of PU and SU in NOMA-OCRN, where the ST selects one SU from among a set of M SUs to operate as a relay for assisting the communication to the PU. In [33], the authors have studied the secrecy performance of the NOMA-enabled overlay cognitive ambient backscatter communication system in the presence of an eavesdropper.…”

Section: A Literature Survey and Problem Formulationmentioning

confidence: 99%

Physical Layer Secrecy Performance Analysis of Jamming-Assisted Overlay Cognitive NOMA Networks With Hardware Impairments and Multiple Non-Colluding Eavesdroppers

Hema,

Babu

2024

IEEE Access

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This paper investigates the physical layer security (PLS) of non-orthogonal multiple access (NOMA)-enabled overlay cognitive radio networks (NOMA-OCRNs), considering multiple non-colluding eavesdroppers. Here PLS is evaluated in terms of: (i) secrecy outage probability (SOP) of primary user (PU) and secondary user (SU) and (ii) system SOP (SSOP), system secrecy throughput (SST) and secrecy energy efficiency (SEE) of the network. Residual hardware impairments arising from non-ideal hardware and imperfect successive interference cancellation conditions are considered. Firstly, we derive new analytical expressions for the SOPs of PU and SU. Numerical evaluation results show that both PU as well as SU suffer very high SOPs that tend to unity in the high transmit power region. Further, RHI and i-SIC have a significant impact on the secrecy performance. To improve the PLS performance, we propose a jammingassisted framework and develop novel analytical models for determining the SOPs of PU and SU. We derive the asymptotic SOP expressions as well. Detailed analytical and simulation results are presented to demonstrate that the proposed jamming-assisted framework leads to a significant reduction of the SOPs of both PU and SU while exhibiting considerable enhancement of SST and SEE of the network compared to the no-jammer scenario. In the final part of this paper, we utilize a deep learning framework for the precise and fast prediction of the SOPs of PU and SU, that can replace complex mathematical modeling.INDEX TERMS Overlay cognitive radio networks, Non-orthogonal multiple access, Physical layer security, Multiple eavesdroppers, Residual hardware impairments, Performance analysis.

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Section: A Literature Survey and Problem Formulationmentioning

confidence: 99%

Physical Layer Secrecy Performance Analysis of Jamming-Assisted Overlay Cognitive NOMA Networks With Hardware Impairments and Multiple Non-Colluding Eavesdroppers

Hema,

Babu

2024

IEEE Access

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“…For maximizing the minimal secrecy EC among devices, a joint optimization problem was developed. The authors of [17] presented a joint PLS analysis of secrecy OP and EC for cognitive IIoT networks in which nodes rely on the primary spectrum using spacetime block coding in conjunction with NOMA in cognitive mode to achieve high spectrum efficiency. The analysis on SWIPT protocol based NOMA framework was considered by the authors in [18], wherein they developed three different techniques for transmit antenna selection (TAS) while keeping the complexity into consideration.…”

Section: A Related Workmentioning

confidence: 99%

Sum Capacity-Based Modeling and Secrecy Analysis of MISO-NOMA Cooperative IoT Framework

Zaman,

Munawar,

Moinuddin

et al. 2024

IEEE Open J. Commun. Soc.

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Non-orthogonal multiple access (NOMA) has emerged as an effective technology , aiding in latency reduction, improving security and reliability, and enhancing the spectral efficiency and capacity in Internet of Things (IoT)-enabled communication systems. In this work, an implementation of co-operative secure multiple-input single-output NOMA IoT framework is proposed and examined in a two-fold manner. First, under the consideration of standalone links, a user selection criteria which relies on the characterization of sum ergodic capacity (SEC) is investigated in the presence of an eavesdropper (ED) and beamforming constraints. Next, using the optimized beamformers, a user selection criteria which relies on the outage probability analysis is performed under cooperative relaying considerations. We demonstrate that our optimization approach achieves reduced capacity and coverage for the ED while maximizing the overall SEC and coverage of the network under multiple network configurations. The proposed optimization solution demonstrates superior performance compared to the benchmarked schemes. Derived closed-form analytical expressions are validated through simulation means.

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“…Therefore, four steps are needed for CR-OMA to finish the whole transmission task. Figure (10) illustrates the average secrecy rate along with delay constraints by changing the timeslot. In order to maximize the sum rate, the system must meet the delay constraint.…”

Section: Performance Analysismentioning

confidence: 99%

“…Thereby, physical layer security (PLS) is implemented to undermine the usage of conventional based encryption algorithms. The purpose of PLS is to improve the intrinsic properties of the wireless channel by impeding eavesdroppers from decoding information [10,11]. Cooperative-based communication has gained greater attention in the CR-NOMA system in recent years.…”

Section: Introductionmentioning

confidence: 99%

Bio-inspired hybrid lyrebird optimization-based power allocation and relay-selection scheme

M.S.

2024

International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024)

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Physical Layer Security Analysis of Cognitive NOMA Internet of Things Networks

Cited by 17 publications

References 32 publications

Physical Layer Secrecy Performance Analysis of Jamming-Assisted Overlay Cognitive NOMA Networks With Hardware Impairments and Multiple Non-Colluding Eavesdroppers

Physical Layer Secrecy Performance Analysis of Jamming-Assisted Overlay Cognitive NOMA Networks With Hardware Impairments and Multiple Non-Colluding Eavesdroppers

Sum Capacity-Based Modeling and Secrecy Analysis of MISO-NOMA Cooperative IoT Framework

Bio-inspired hybrid lyrebird optimization-based power allocation and relay-selection scheme

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