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IEEE Consumer Communications and Networking Conference

Physical-layer security enhancement via power allocation between pilot and data jamming

Sungjun Ahn, Seungjae Jung, Wonju Lee, Joonhyuk Kang

Published Jan 1, 2017• 6 citations
Publisher

Abstract

In this paper, we consider the multiple-input single-output (MISO) wiretap channel with a cooperative jammer (CJ). Motivated by the fact that corrupting pilot signals can effectively degrade the channel estimation at the eavesdropper (Eve), we emphasize that the physical-layer security can be enhanced by introducing jamming signals in pilot phase. Therefore, we propose a cooperative jamming scheme which delivers artificial noise (AN) both in pilot and data phases, unlike the conventional schemes that transmit AN only in data phase. More specifically, we optimize the jamming power allocation between pilot phase and data phase, along with designing the beamforming vector at the CJ. Furthermore, considering the limitation of energy budget at the CJ, the energy efficiency of the proposed scheme is investigated based on the circuit power consumption model. Finally, numerical results verify the performance of the proposed scheme, in terms of secrecy rate and energy efficiency.

DOI
10.1109/ccnc.2017.7983267

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In this paper, we consider the multiple-input single-output (MISO) wiretap channel with a cooperative jammer (CJ). Motivated by the fact that corrupting pilot signals can effectively degrade the channel estimation at the eavesdropper (Eve), we emphasize that the physical-layer security can be enhanced by introducing jamming signals in pilot phase. Therefore, we propose a cooperative jamming scheme which delivers artificial noise (AN) both in pilot and data phases, unlike the conventional schemes that transmit AN only in data phase. More specifically, we optimize the jamming power allocation between pilot phase and data phase, along with designing the beamforming vector at the CJ. Furthermore, considering the limitation of energy budget at the CJ, the energy efficiency of the proposed scheme is investigated based on the circuit power consumption model. Finally, numerical results verify the performance of the proposed scheme, in terms of secrecy rate and energy efficiency.
In this paper, we tackle the physical-layer security issue in MISO wiretap channel considering the pilot-assisted channel estimation at the receiver side. Unlike the conventional schemes, we introduce the cooperative jamming scheme that transmits artificial noise (AN) only on downlink pilot transmission phase. In order to disrupt the channel estimation at the eavesdropper (Eve) effectively, an optimal beamforming at the cooperative jammer (CJ) was obtained by means of difference-of-convex (DC) algorithm and rank relaxation. In addition, with focus on the energy budget limitation issue at the CJ, energy efficiency at the CJ is verified based on the circuit power consumption model. Numerical results provide a performance comparison with a conventional scheme, which transmits AN only in data transmission phase.
Tackling the physical layer secrecy issue, existing studies on cooperative jamming generally assume the persistent jamming and perfect channel estimation at the receiver side. However, these two assumptions are incompatible since jamming signals can corrupt the pilot symbols. In addition, due to the energy budget limitation, persistent jamming is burdensome to the cooperative jammers. To address these issues, we propose a cooperative jamming strategy that designs the jamming symbols aiming only at the pilot signals to attain security improvement by manipulating the channel estimations at the authorized receiver and the eavesdropper simultaneously. Via computer simulations, we compare the performance of the proposed strategy with that of a conventional persistent artificial noise-aided strategy, and these results demonstrate that the proposed strategy achieves substantial secrecy rate gain in wide region, especially at the low data transmission power regime and at the rank-deficient environment.
This paper investigates cooperative security in wireless networks, where a source (Alice) intends to transmit a confidential message to a legitimate destination (Bob), with the help of a cooperative jammer (Charlie), coexisting with multiple passive eavesdroppers (Eves). In particular, by assuming knowledge of Bob's perfect channel state information (CSI) but only Eves’ statistical CSIs, secrecy beamforming with artificial noise (AN) is utilized for secure transmission, and cooperative jamming (CJ) is explored to further enhance secrecy. We first derive an accurate closed-form expression for the secrecy outage probability (SOP), and establish the condition under which positive secrecy rate is achievable. Then, we provide a secure transmit design for maximizing the SOP constrained secrecy rate. Moreover, based on a strict mathematical analysis, we characterize the impact of the main channel quality and the number of Eves on transmit design and secrecy performance. Specifically, optimal power allocation ratio between the information-bearing signal and the AN signal increases as the main channel quality improves, and decreases with the number of Eves. Numerical results confirm that our design achieves performance improvement in terms of both secrecy rate and secure energy efficiency, as compared to the approach without CJ.
Cooperative jamming approach has been commonly used in the field of physical layer security to achieve a good secrecy rate of wireless networks. In this approach, the Gaussian noise signal sent by a friendly jammer can disrupt the reception of the eavesdropper, however, it may also interfere with the legitimate receiver. In this paper, we propose a novel approach, namely, information jamming, to go beyond the secrecy rate achieved by the traditional cooperative jamming approach in a multiple-input single-output (MISO) wiretap channel. We propose that a multi-antenna friendly jammer transmits the source message rather than Gaussian noise signal for simultaneously enhancing the signal strength at the legitimate receiver and canceling the received signal at the eavesdropper. In particular, we aim to maximize the achievable secrecy rate by optimizing the information jammer's beamforming vector. Though the optimization problem is non-convex, we successfully solve it optimally via a two-stage based numerical approach. To gain more useful analytical results, we also propose two suboptimal jamming schemes with low computation, by targeting at improving the legitimate reception and avoiding the eavesdropping, respectively. Finally, numerical results show that the proposed information jamming approach significantly helps go beyond the secrecy rate of the existing cooperative jamming approach, especially when the transmit power of the jammer is large enough.
In this paper, we consider physical layer security in wireless communication networks in which a source (Alice) intends to send a confidential message to a legitimate destination (Bob) with the help of a cooperative jammer (CJ), in the presence of a passive eavesdropper (Eve). Assuming that only statistical channel state information (CSI) of Eve is available, artificial-noise (AN) assisted beamforming and cooperative jamming are designed. The goal is to maximize the secrecy rate, subject to a constraint on secrecy outage probability. Numerical results validate the effectiveness of our scheme. Moreover, a higher secure energy efficiency (EE) can be achieved as compared with other schemes without a cooperative jammer.
In this paper, we propose a novel scheme of grouping cooperative jamming(CJ) for secure communication. During the data transmission, the source broadcasts its information signal, all the helpers simultaneously transmit common artificial noise(AN) to interfere the eavesdropper for tradition CJ. In our scheme, all the helpers are divided to different groups which transmit independent artificial noises to the potential eavesdropper. The zero-forcing beamfomer is selected to cancel the AN out at the destination. The tradition CJ scheme can not completely consume the total power budget, while the grouping scheme is based on the instantaneously channel gain which can make best of the total power per group. The simulations show that our propose scheme based on minimum distance achieves the highest secrecy rate and the power actual consumed approaches to the total power budget. Additionally, we propose a fixed grouping scheme based on the second-order statistics of the channel gain which can be easily implemented. Furthermore, we consider the case that the eavesdropper has knowledge of the artificial noise. The tradition CJ does not work in such case, while our scheme works well even only one group keeps its AN secret. The analytical results and simulations show our scheme achieves better performance than the tradition CJ.