Joint effect of jamming and noise on the secrecy outage performance of wiretap channels with feedback delay and multiple antennas

In this paper, we investigate the impact of saturation nonlinear energy harvesting (EH) and activation threshold on the multiuser wireless powered sensor networks (WPSNs) from the physical layer security (PLS) perspective. In particular, for improving the secrecy performance, the generalized multiuser scheduling (GMS) scheme is exploited, in which the Kth strongest sensor is chosen based on the legitimate link. For evaluating the impact of various key parameters on the security of system, we obtain the exact closed-form expressions for secrecy outage probability (SOP) under linear EH (LEH), saturation nonlinear EH (SNEH) and saturation nonlinear EH with activation threshold (SNAT), respectively, and solve the maximization problem of secure energy efficiency (SEE). Simulation results demonstrate that: (1) the number of source sensors, the EH efficiency and the transmit power of power beacon (PB) all have positive impact on SOP, and the smaller generalized selection coefficient is advantageous for secrecy performance; (2) LEH is an ideal situation for SNEH when the saturation threshold is large enough and SNEH is a special situation for SNAT when the activation threshold is low enough; (3) the time-switching factor and the activation threshold both have an important impact on the secrecy performance, which are worth considering carefully.

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“…According to Equation (14), the exact SOP of considered multiuser WPSNs with GMS scheme under LEH mode can be formulated as:…”

Section: Derivation For Leh Modementioning

confidence: 99%

Secrecy Performance Analysis of Wireless Powered Sensor Networks Under Saturation Nonlinear Energy Harvesting and Activation Threshold

Shang

Yin

Wang

et al. 2020

Sensors

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“…Particularly, the authors of [11,12] described the performance capacity of privacy in a multiple-input, multiple-output (MIMO) wiretap transmission channel. However, the authors of [13] investigated a joint effect of multiple jamming signals and noise at the eavesdropper in a MIMO network by assuming the implementation of antenna selection technique by the transmitter, while both the eavesdropper and legitimate receiver make use of a maximal-ratio combining scheme to achieve spatial diversity in reception. Their results show the effects of imperfect feedback and other key system parameters on the secrecy performance.…”

Section: Introductionmentioning

confidence: 99%

“…All the above-mentioned studies, except for [10,11], failed to explore a MIMOME scenario wish illustrates the effects of Eve's growing quantity of transmitting antennas on privacy. Although the authors of [6,11,13] proposed proficient privacy, their technique is reliant only on the assumption of a scenario where several factors such as the quantity of Eve's antennas that are accessible for transmitter usage for artificial noise subspace, are constrained in a MIMO and MIMOME network. By implication, it is essential that Eve's multiple antenna usage needs be considered and addressed.…”

Section: Introductionmentioning

confidence: 99%

Realizing Efficient Security and Privacy in IoT Networks

Anajemba

Tang

Iwendi

et al. 2020

Sensors

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In recent times, security and privacy at the physical (PHY) layer has been a major issue of several communication technologies which comprise the internet of things (IoT) and mostly, the emerging fifth-generation (5G) cellular network. The most real-world PHY security challenge stems from the fact that the passive eavesdropper’s information is unavailable to the genuine source and destination (transmitter/receiver) nodes in the network. Without this information, it is difficult to optimize the broadcasting parameters. Therefore, in this research, we propose an efficient sequential convex estimation optimization (SCEO) algorithm to mitigate this challenge and improve the security of physical layer (PHY) in a three-node wireless communication network. The results of our experiments indicate that by using the SCEO algorithm, an optimal performance and enhanced convergence is achieved in the transmission. However, considering possible security challenges envisaged when a multiple eavesdropper is active in a network, we expanded our research to develop a swift privacy rate optimization algorithm for a multiple-input, multiple-output, multiple-eavesdropper (MIMOME) scenario as it is applicable to security in IoT and 5G technologies. The result of the investigation show that the algorithm executes significantly with minimal complexity when compared with nonoptimal parameters. We further employed the use of rate constraint together with self-interference of the full-duplex transmission at the receiving node, which makes the performance of our technique outstanding when compared with previous studies.

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“…Security was taken into consideration in other works() for a general implication of wiretap channels.…”

Section: Introductionmentioning

confidence: 99%

“…More specifically, other works() have taken into account multiple‐input–multiple‐output multiantenna eavesdropper (MIMOME) or MIMO wiretap channel–based frameworks. Comparing the aforementioned papers reveals that only our previous work, and the works of Masood et al and Guerreiro et al considered a general case for their schemes among which our previous work was more extendible.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic‐based secrecy rate maximisation for MIMOME wiretap channels: Towards novel convexification procedures—Part II

Zamanipour¹

2018

Trans Emerging Tel Tech

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This paper extends our previous work on multiple‐input–multiple‐output multiantenna eavesdropper–based wiretap channels aimed at fundamentally proposing optimally secure frameworks. This extension is appropriately conducted providing 2 newly asymptotic bounds for the secrecy outage capacity. Such proposed schemes should be necessarily taken into consideration owing to channel uncertainty sets in relation to the eavesdropping fusion center. Our first resultant closed‐form solution, which is mathematically performed according to Hanson‐Wright inequality, is totally tight as well; something that can be technically assigned to other ergodicity‐driven equilibria. Specifically, our solution's outperformance is highlighted with regard to a significantly more adequate secrecy capacity in the low signal‐to‐noise‐ratio regime. Such outperformance is efficiently guaranteed due to assigning optimally convex paradigms regarding the concentration‐of‐measure‐based inequality aforementioned. Additionally, our framework has a markedly acceptable computational complexity compared with our previous work. The latter characteristic is straightforwardly highlighted in parallel with a considerably acceptable computational error as well. Finally, we optimally generalise our framework to dynamically fast fading processes in terms of the secondly closed‐form asymptotic bound. At the end of the discussion, simulation‐based analytical results principally authenticate our contribution's efficiency and tightness.

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Joint effect of jamming and noise on the secrecy outage performance of wiretap channels with feedback delay and multiple antennas

Cited by 9 publications

References 26 publications

Secrecy Performance Analysis of Wireless Powered Sensor Networks Under Saturation Nonlinear Energy Harvesting and Activation Threshold

Secrecy Performance Analysis of Wireless Powered Sensor Networks Under Saturation Nonlinear Energy Harvesting and Activation Threshold

Realizing Efficient Security and Privacy in IoT Networks

Probabilistic‐based secrecy rate maximisation for MIMOME wiretap channels: Towards novel convexification procedures—Part II

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