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National Conference on Communications

Secrecy Performance of SWIPT Cognitive Radio Networks with Eavesdropper's Decoding Capability

Soleha Kousar, Ajay Singh

Published Feb 28, 2024• 0 citations
Publisher

Abstract

The concept of secrecy outage probability is a fundamental aspect used to study the performance of secrecy in wireless communication networks. While this metric constitutes the key element of secrecy performance evaluation, a more advanced approach involves scrutinizing the eavesdropper's capacity to decode the information. The issue of secrecy becomes critical in our proposed system model for cognitive radio network (CRN) featuring simultaneous wireless information and power transfer (SWIPT). In this context, security concerns arise related to spectrum sharing in CRNs, with the energy harvester in SWIPT potentially acting as an eavesdropper. We conduct an in-depth analysis using the concept of fractional equivocation to assess the severity of eavesdropper's decodability of the information. The chosen secrecy metric offers a more comprehensive understanding of secrecy in SWIPT-CRN, facilitating the design of secure communication systems with diverse perspectives on secrecy measurement. We derive a closed-form analytical expression for the exact generalized secrecy outage probability (GSOP) of the network. This expression conveys the GSOP's dependence on system parameters associated with the eavesdropper's decoding capability, which we illustrate through numerical analysis. Asymptotic analysis is performed to gain better insights into the system.

DOI
10.1109/ncc60321.2024.10486035

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The concept of secrecy outage probability is a fundamental aspect used to study the performance of secrecy in wireless communication networks. While this metric constitutes the key element of secrecy performance evaluation, a more advanced approach involves scrutinizing the eavesdropper's capacity to decode the information. The issue of secrecy becomes critical in our proposed system model for cognitive radio network (CRN) featuring simultaneous wireless information and power transfer (SWIPT). In this context, security concerns arise related to spectrum sharing in CRNs, with the energy harvester in SWIPT potentially acting as an eavesdropper. We conduct an in-depth analysis using the concept of fractional equivocation to assess the severity of eavesdropper's decodability of the information. The chosen secrecy metric offers a more comprehensive understanding of secrecy in SWIPT-CRN, facilitating the design of secure communication systems with diverse perspectives on secrecy measurement. We derive a closed-form analytical expression for the exact generalized secrecy outage probability (GSOP) of the network. This expression conveys the GSOP's dependence on system parameters associated with the eavesdropper's decoding capability, which we illustrate through numerical analysis. Asymptotic analysis is performed to gain better insights into the system.
In the field of physical layer security, fractional equivocation offers a broader perspective on secrecy, particularly regarding the confusion at the eavesdropper. Previous studies have utilized fractional equivocation to derive essential first-order metrics. However, deriving closed-form higher-order metrics based on fractional equivocation has been challenging due to numerical complexities. In this paper, we go beyond the first-order metrics and find a method to compute the higher metrics of fractional equivocation. We apply this method to simultaneous wireless information and power transfer (SWIPT) systems. Using the higher order moments, we introduce a new metric termed as amount of confusion loss (ACL). This metric assesses the level of confusion loss experienced by eavesdroppers, providing a more comprehensive characterization of their impact in real-world scenarios. Our analysis of ACL considers various power allocation scenarios to the energy harvesting receiver (EHR) and different signal-to-noise ratio (SNR) levels and illustrates the impact of these on eavesdropper's loss of confusion. This analysis reveals a significant disparity in the severity of confusion loss compared to the existing average leakage rate (ALR), particularly at low secrecy rates, which is not observed in previous studies. Furthermore, the influence of power allocation towards the EHR is distinctly reflected in the generalized secrecy outage probability (GSOP) and average fractional equivocation (AFE). Simulation results are performed to check the accuracy.
This work considers a single-input-single-output (SISO) simultaneous wireless information and power transfer (SWIPT) system, which comprises a single-antenna transmitter named Alice, one single-antenna legitimate receiver named Bob, andM(M>1)M(M\gt 1)M(M>1)single-antenna energy receivers (ERs). This paper examines the secrecy performance SISO SWIPT network in the presence of malevolent ERs in the partial secrecy regime that is based on the notion of practical equivocation and derives the closed-form expression for the generalized secrecy outage probability (GSOP), average fractional equivocation (AFE), and average information leakage rate (AILR). Moreover, a performance metric, referred to as the amount of confusion level (ACL), which measures the degree of confusion level at ERs is also analyzed for the proposed SWIPT networks. The optimal values of the secrecy rate and Alice’s transmission rate which are subject to throughput constraints are calculated in order to minimize the GSOP, maximize the AFE, and minimize the AILR. Finally, the optimal value of the power spitting factor is calculated.
We address the physical layer security (PHY-security) for an underlay single-input multiple-output (SIMO) cognitive radio network using simultaneous wireless information and power transfer (SWIPT). The considered system model is composed of one primary receiver, one secondary transceiver, and one energy harvesting receiver that may potentially be an eavesdropper. First, the closed-form analytic expression of the average secrecy capacity (ASC) of the considered network is derived. Second, we analyze the network's achievable ASC under Rayleigh fading assumption for all underlying channels. Our results indicate that ASC performance is improved by reducing the number of deployed antennas at the energy receiver or by increasing the number of antennas deployed at the information receiver.
Simultaneous wireless information and power transfer (SWIPT) has drawn significant research interest in recent years.In this paper, we investigate the information theoretic secrecy of a SWIPT system under Weibull fading channel.To be specific, we analyze the information security in the presence of an energy harvesting and information decoding eavesdropper.All links are subjected to Weibull fading which is more complex than traditional Rayleigh fading.Moreover, we derive closed-form expressions for the probability of strictly positive secrecy capacity and the ergodic secrecy capacity.We evaluate the effect of Weibull shape parameter and power splitting factor on the secrecy performance of SWIPT system.Numerical and simulation results are provided to demonstrate that our findings are instantly applicable on the design of wireless power networks.
In this paper, the secrecy outage performance of cognitive radio (CR) systems with simultaneous wireless information and power transfer (SWIPT) is investigated, in which non-colluding eavesdroppers (Eves) are randomly located in a 2-dimensional disk and artificial noise is added to safeguard the secrecy performance of the targeted information delivery in the secondary network. The secondary users coexist with primary users in the same bands while the secondary user transmitter (SU-TX) transmits confidential messages to a legitimate receiver (Bob) and energy to multiple energy-receivers (ERs) via the same radio frequency signals. Apart from harvesting energy, these ERs may act as Eves to overhear the confidential information only for Bob. SU-TX equipped with multiple antennas performs beamforming to Bob, which is equipped with multiple antennas and adopts selection combining (SC) scheme. To enhance the secure performance of the considered CR-SWIPT system, SU-TX adds artificial noise (AN) to the original signal designed for Bob according to the instantaneous channel state information (CSI) between SU-TX and Bob, where the artificial noise and original signals for Bob are orthogonal so that Bob can cancel this noise. On ERs’ side, the total received energy for harvesting is not degraded, and a lower signal-to-interference-plus-noise ratio for eavesdropping on the information between SU-TX and Bob is introduced. The approximated closed-form expression for the secrecy outage probability (SOP) is derived by using Gauss-Laguerre quadrature, as well as the asymptotic results are valid in the high signal to noise ratio region. Finally, Monte-Carlo simulations are presented to validate the correctness of the derived analytical results.
Physical-layer security (PLS) for an underlay cognitive radio network (CRN)-based simultaneous wireless information and power transfer (SWIPT) over cascaded κ-µ fading channels is investigated. The network is composed of a pair of secondary users (SUs), a primary user (PU) receiver, and an eavesdropper attempting to intercept the data shared by the SUs. To improve the SUs’ data transmission security, we assume a full-duplex (FD) SU destination, which employs energy harvesting (EH) to extract the power required for generating jamming signals to be emitted to confound the eavesdropper. Two scenarios are presented and compared; harvesting and non-harvesting eavesdropper. Moreover, a trade-off between the system’s secrecy and reliability is explored. PLS is studied in terms of the probability of non-zero secrecy capacity and the intercept probability, whereas the reliability is studied in terms of the outage probability. Results reveal the great impact of jamming over the improvement of the SUs’ secrecy. Additionally, our work indicates that studying the system’s secrecy over cascaded channels has an influence on the system’s PLS that cannot be neglected.