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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Artificial-noise-aided secure communication with full-duplex active eavesdropper

Zunning Liu, Na Li, Xiaofeng Tao, Si Li, Jin Xu, Baofeng Zhang

Published Oct 1, 2017• 9 citations
Publisher

Abstract

In this paper, we investigate the performance of artificial noise assisted secure communication in the presence of a full-duplex active eavesdropper who can simultaneously perform eavesdropping and jamming. An approximate closed-form expression for the secrecy rate is derived. With this result, we obtain a new result for the optimal power allocation factor maximizing the secrecy rate, and analyze the impact of self-interference coefficient and jamming power on it. We further consider a more practical scenario where the legitimate user aims to maintain a given target data rate and uses all remaining power for artificial noise (AN) to interfere with the eavesdropper. While the eavesdropper tries to compel the transmitter to reduce the AN by sending jamming signals to the legitimate receiver. To solve this conflict, we introduce a power cost parameter to describe the impact of jamming on the eavesdropper itself and then formulate a game-theoretic framework. We also derive the closed-form equilibrium solutions for both sides. These results show the optimal jamming strategy of the eavesdropper and provide insights into the low bound secrecy performance. Finally, simulation results are provided to verify our analytical results.

DOI
10.1109/pimrc.2017.8292673

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In this paper, we investigate the performance of artificial noise assisted secure communication in the presence of a full-duplex active eavesdropper who can simultaneously perform eavesdropping and jamming. An approximate closed-form expression for the secrecy rate is derived. With this result, we obtain a new result for the optimal power allocation factor maximizing the secrecy rate, and analyze the impact of self-interference coefficient and jamming power on it. We further consider a more practical scenario where the legitimate user aims to maintain a given target data rate and uses all remaining power for artificial noise (AN) to interfere with the eavesdropper. While the eavesdropper tries to compel the transmitter to reduce the AN by sending jamming signals to the legitimate receiver. To solve this conflict, we introduce a power cost parameter to describe the impact of jamming on the eavesdropper itself and then formulate a game-theoretic framework. We also derive the closed-form equilibrium solutions for both sides. These results show the optimal jamming strategy of the eavesdropper and provide insights into the low bound secrecy performance. Finally, simulation results are provided to verify our analytical results.
In this paper, we investigate the performance of artificial noise (AN) assisted secure communication in the presence of an active eavesdropper, who selects a jammer to assist eavesdropping. An approximate closed-form expression for the secrecy rate is derived firstly. Then we consider the practical scenario where Alice aims to allocate considerable power to the AN under the target Quality of Service (QoS) of the legitimate link. While Eve tries to compel Alice to reduce the AN by selecting an optimal helper to transmit jamming signals to Bob. To solve the conflict, we formulate a game-theoretic model between Alice and Eve. Nash equilibriums, including the minimum power allocation factor, the jammer's optimal position and jamming power are proved to exist and then analytically derived. An iterative algorithm is also proposed to obtain the optimal solution. Finally, simulation results are provided to verify our analytical results.
Security issue is of paramount importance yet significant challenge for wireless communications, and this problem can be even more intricate when facing with a full-duplex adversary. In this paper, we investigate the physical layer security of a legitimate transmission link in the presence of a full-duplex active eavesdropper, who is capable to perform eavesdropping and jamming simultaneously. The legitimate user aims at a target secrecy rate while the eavesdropper intends to maximize its wiretap rate. To this end, the eavesdropper imposes a jamming signal at the legitimate receiver to stimulate higher-power legitimate transmissions and thus facilitates its eavesdropping. This, however, generates residual self-interference at the eavesdropper itself and is subject to a linear price for the jamming power. The problem is then formulated within a game-theoretic framework, where the closed-form strategies of both the legitimate user and active eavesdropper are obtained. Moreover, we analyze the performance in terms of secrecy outage probability for the legitimate link in such a hostile situation. Also provided are the simulation results which validate our theoretical analysis.
In this paper, we introduce smart jamming attack by an active eavesdropper (or jammer) who is capable of full-duplex communications. Using self-interference cancellation, the active eavesdropper can have no degraded signals from jamming, while the powers of jamming signals can be decided to manipulate a legitimate transmitter's transmission powers in decreasing the secrecy rate when the legitimate transmitter is unaware of the jammer's capability of full-duplex communications. We derive a closed-form expression for an upper-bound on the secrecy rate and use it to allocate the jamming powers. From this, we can show that the secrecy rate can be zero under full-duplex attack for any total transmission power of the legitimate transmitter. This result demonstrates that a transmitter should be aware of the possibility of active eavesdropping with jamming attack.
Security is an issue of paramount importance, yet is it a significant challenge for wireless communications, which becomes more intricate when facing a full duplex (FD) active eavesdropper capable of performing eavesdropping and jamming simultaneously. In this paper, we investigate the physical layer security issue in the presence of an FD active eavesdropper, who launches jamming attacks to further improve the eavesdropping. The jamming, however, also results in self-interference at the eavesdropper itself. This security problem is formulated within a hierarchical game framework where the eavesdropper acts as the leader and the legitimate user is the follower. In particular, we first investigate the follower's secrecy rate maximization problem and derive the optimal legitimate transmission strategy. Then, the leader's wiretap rate maximization is expressed as a mathematical program with equilibrium constraints (MPEC). Leveraging the concavity of the follower's problem, we transform the MPEC problem into a single-level optimization and obtain the jamming power allocation strategy by applying the primal-dual interior-point method. Moreover, we analyze the situations where only partial channel state information is available at the legitimate user and the corresponding impacts on the game. Finally, we present extensive simulation results to validate our theoretical analysis.
This paper studies a secure communication over multiple-input multiple-output multi-antenna eavesdropper (MIMOME) channels which consist of legitimate parities, namely a transmitter and receiver, equipped with multi-antennas and a passive eavesdropper with multi-antennas. For securing the communication between the legitimate parties, we consider an artificial noise (AN) scheme in which the legitimate transmitter sends its secret messages and AN signal together. Meanwhile, it is assumed that the legitimate receiver has a full-duplex capability which enables it to capture the secret message from the transmitter and simultaneously generate a jamming signal to strengthen security. While there have been studies on similar setups, most of them focus on the design of the jamming signal with the assumption of full channel-state information (CSI) and/or system parameter optimization based on numerical evaluations. On the contrary, in this work, we instead introduce a tight lower bound on an achievable ergodic secrecy rate as a versatile analytic tool and derive a closed-form expressions for the bound. To confirm the analytic results, we carry out numerical evaluations of the ergodic secrecy rate which are compared with the proposed lower bound.
In this paper, we examine the security issue of unmanned aerial vehicle (UAV)-aided communication systems. We consider the scenario where a source communicates with a legitimate UAV in the presence of a full-duplex eavesdropper. We assume that the full-duplex eavesdropper performs both eavesdropping and malicious jamming simultaneously. In order to safeguard data transmissions against such an eavesdropper, the source transmits artificial noise (AN) signals together with information signals. We adopt the hybrid outage probability as the performance metric, which combines the transmission outage probability and the secrecy outage probability. We derive a compact expression for the hybrid outage probability. Using the derived expression, we determine the optimal power allocation factor between information signals and AN signals that minimizes the hybrid outage probability. In addition, we examine the impact of the operating height of UAV on the secrecy performance, showing that the optimal secrecy performance can be achieved by judiciously controlling the height of UAV.