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IEEE International Conference on Communication Technology (ICCT)

Secure Communication with a Wireless Powered Full-Duplex Eavesdropper

Qun Li, Ding Xu

Published Oct 1, 2019• 2 citations
Publisher

Abstract

This paper investigates physical layer secure communication of a three node multicarrier network with a legitimate transmitter, a legitimate receiver, and a wireless powered full-duplex eavesdropper, where the eavesdropper splits the received signal power into two parts, one for energy harvesting and the remaining for information decoding. The eavesdropper sends jamming signals to interfere with the legitimate communication using the harvested energy to degrade the secure communication of the legitimate user. We use the non-cooperative game to model the interaction between the legitimate user and the eavesdropper, where the aim of the legitimate user is to maximize its sum secrecy rate on all subcarriers under the total transmit power constraint and the aim of the eavesdropper is to minimize the sum secrecy rate of the legitimate communication on all subcarriers under the energy causality constraint. We propose an iterative algorithm to achieve the Nash equilibrium of the non-cooperative game. Simulation results verify the proposed algorithm and show that the proposed algorithm significantly outperforms the benchmark algorithms and is resistant to the jamming from the eavesdropper.

DOI
10.1109/icct46805.2019.8947296

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This paper investigates physical layer secure communication of a three node multicarrier network with a legitimate transmitter, a legitimate receiver, and a wireless powered full-duplex eavesdropper, where the eavesdropper splits the received signal power into two parts, one for energy harvesting and the remaining for information decoding. The eavesdropper sends jamming signals to interfere with the legitimate communication using the harvested energy to degrade the secure communication of the legitimate user. We use the non-cooperative game to model the interaction between the legitimate user and the eavesdropper, where the aim of the legitimate user is to maximize its sum secrecy rate on all subcarriers under the total transmit power constraint and the aim of the eavesdropper is to minimize the sum secrecy rate of the legitimate communication on all subcarriers under the energy causality constraint. We propose an iterative algorithm to achieve the Nash equilibrium of the non-cooperative game. Simulation results verify the proposed algorithm and show that the proposed algorithm significantly outperforms the benchmark algorithms and is resistant to the jamming from the eavesdropper.
We consider a three-node multicarrier network consisting of a source node, a wireless powered full-duplex destination node, and an eavesdropper. The destination node is assumed to adopt the power splitting technique to coordinate information decoding and energy harvesting. To improve security performance, the destination node can send jamming signals using the harvested energy. The problem for maximizing the secrecy rate by optimizing transmit power allocation at the source node, the transmit power allocation for jamming at the destination node and the power splitting ratio at the destination node is investigated and solved by a proposed iterative algorithm. Simulation results show that the proposed algorithm outperforms other reference algorithms.
This paper investigates physical layer security of a multicarrier network with a legitimate source node, a legitimate destination node and an eavesdropper. Specifically, the eaves-dropper adopts the simultaneous wireless information and power transfer (SWIPT) by splitting the power of the received signals from the source node into two parts, one for energy harvesting and the remaining for information decoding, and a minimum harvested energy at the eavesdropper is required. We formulate a Stackelberg game, where the eavesdropper acts as a follower who aims to maximize its sum eavesdropping rate under the minimum harvested energy constraint, and the source node acts as a leader who aims to maximize its sum secrecy rate under the transmit power constraint. An algorithm is proposed to achieve the Stackelberg equilibrium. Simulation results are provided to verify the proposed algorithm. It is shown that the proposed algorithm greatly outperforms the benchmark algorithms.
In this paper, we investigate physical layer security, where a source node communicates with a wireless powered full-duplex destination node using multiple subcarriers in the presence of an eavesdropper. The destination node adopts the time switching technique to coordinate information decoding and energy harvesting, and can use the harvested energy to send jamming signals to interfere with the eavesdropper. We investigate the problem of optimizing transmit power allocation at the source node, the transmit power allocation for jamming at the destination node and the time allocation for maximizing the secrecy rate, and propose an iterative algorithm to solve the optimization problem. It is shown by simulation results that the proposed algorithm greatly outperforms other reference algorithms.
This letter studies secure communication in a wireless powered communication network with a full-duplex destination node, who applies either power splitting (PS) or time switching (TS) to coordinate energy harvesting and information decoding of received signals and transmits jamming signals to the eavesdropper using the harvested energy. The secrecy rate is maximized by optimizing PS or TS ratio and power allocation. We propose iterative algorithms with power allocation optimized by the successive convex approximation method. Simulation results demonstrate that the proposed algorithms are superior to other benchmark algorithms.
This letter considers wireless-powered cooperative jamming to secure communication between a transmitter (Tx) and an information receiver, in the presence of an energy receiver (ER), which is termed a potential eavesdropper. The full-duplex jammer harvests energy from the Tx's information signal and transmits jamming signal at the same time, where the jamming signal not only confounds the ER (potential eavesdropper) but also charges the ER. Our goal is to maximize the secrecy information rate by jointly optimizing the power allocation at the Tx and jammer, while maintaining the harvested energy requirement of the ER. The studied problem is non-convex and we propose the optimal solution based on the Lagrange method. Simulation results show that the proposed scheme significantly outperforms the benchmark schemes.
In this paper, legitimate eavesdropping in a point-to-point suspicious communication network with multiple wireless powered full-duplex legitimate eavesdroppers is investigated. The eavesdroppers are assumed to adopt the power splitting technique to coordinate energy harvesting and information eavesdropping, and use the harvested energy to proactively jam the suspicious communication. For both collusive and non-collusive eavesdroppers, the successful eavesdropping probability is maximized by optimizing the power splitting ratio at each eavesdropper. Heuristic algorithms are proposed to solve the optimization problems. Simulation results are provided to confirm the effectiveness of the proposed algorithms. It is shown that the proposed algorithms outperform the reference algorithms without proactive jamming, especially for non-collusive eavesdroppers with a high energy harvesting efficiency, a high transmit power of the suspicious user, or a large number of eavesdroppers.