IEEE Systems Journal

Jamming-Assisted Legitimate Eavesdropping and Secure Communication in Multicarrier Interference Networks

Ding Xu, Hongbo Zhu

Published Nov 3, 2020• 14 citations

Abstract

This article investigates legitimate eavesdropping and secure communication in a multicarrier interference network, where a suspicious link coexists with an unsuspicious link, in the presence of a full-duplex monitor. It is assumed that the unsuspicious users (UUs) are under illegal eavesdropping threat from the suspicious users (SUs), and the monitor can send jamming signals to interfere with the SUs. The UUs are required to cooperate with the monitor for reducing the secrecy outage probability of the UUs to be lower than that without the monitor’s jamming. Under this secrecy outage constraint along with the transmit power constraints, the problem for maximizing the successful eavesdropping probability of the monitor by jointly allocating the transmit powers of the monitor and the UUs is investigated. The problem is solved with the Lagrange duality method by proving the time-sharing property holds, where two algorithms are proposed for obtaining the dual function based on the block coordinate descent method and the successive convex approximation method. Simulation results verify that the proposed algorithms are superior to the noncooperative strategy and the passive eavesdropping strategy, and achieve high successful eavesdropping probability and low secrecy outage probability simultaneously.

DOI: 10.1109/jsyst.2020.3030574

Related papers

Legitimate Surveillance of Suspicious Communications With QoS Guarantees for Unsuspicious Users

Ding Xu

In this letter, legitimate surveillance of a pair of suspicious users (SUs) who shares the same spectrum with a pair of unsuspicious users (UUs), in the presence of a full-duplex monitor, is investigated. The monitor can proactively jam the suspicious communication for better eavesdropping performance. The problem of jamming transmit power optimization for maximizing the successful eavesdropping probability under the constraint that the quality of service (QoS) of the UUs is not affected, is investigated. After important properties of the problem are obtained, a high-complexity optimal algorithm and a low-complexity suboptimal algorithm are derived. The superiority of the proposed algorithms compared to the benchmark algorithm is verified by simulation results.

IEEE Communications LettersMar 23, 202015 citations

Unsuspicious User Enabled Proactive Eavesdropping in Interference Networks Using Improper Gaussian Signaling

Ding Xu, Hongbo Zhu

Proactive eavesdropping is an effective approach to improve the performance of wireless information surveillance, where suspicious users are legitimately eavesdropped by authorized monitors. For the situation when no monitor is available, we propose to authorize unsuspicious users to surveil suspicious users provided that the quality-of-service (QoS) of unsuspicious users is guaranteed. This paper considers an interference network consisting of a suspicious-transmitter (STx)/suspicious-receiver (SRx) pair and an unsuspicious-transmitter (UTx)/unsuspicious-receiver (URx) pair. We assume that URx acts as a monitor to eavesdrop the suspicious communication, and UTx adopts improper Gaussian signaling (IGS) for flexibly managing the interference to SRx. The QoS of the unsuspicious communication is guaranteed by enforcing its outage performance to be higher than a desirable level. The problem of optimizing the transmit power and the IGS circularity coefficient of UTx to maximize the average eavesdropping rate is optimally solved by the Lagrange duality method. Theoretical results show that IGS is effective when the eavesdropping is successful and the unsuspicious communication is in non-outage status. Simulation results confirm that the proposed design works well even when no additional outage of the unsuspicious communication is allowed, and show that IGS can greatly outperform proper Gaussian signaling in most cases.

IEEE Transactions on CommunicationsMar 6, 20236 citations

Secure Communication with a Wireless Powered Full-Duplex Eavesdropper

Qun Li, Ding Xu

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.

IEEE International Conference on Communication Technology (ICCT)Oct 1, 20192 citations

Proactive Eavesdropping for Wireless Information Surveillance Under Suspicious Communication Quality-of-Service Constraint

Ding Xu, Hongbo Zhu

This paper investigates a proactive eavesdropping scenario where multiple suspicious communication (SC) links are eavesdropped by a full-duplex monitor who can send jamming or constructive signals on each SC link. In order to avoid being discovered by the suspicious users, the monitor restricts the SC quality-of-service (QoS) degradation caused by itself. Under this SC QoS constraint and the average transmit power constraint, the problems of optimizing the mode and transmit power of the monitor to maximize the average successful eavesdropping probability and the average eavesdropping rate are investigated for the delay-sensitive suspicious service and delay-tolerant suspicious service, respectively. By proving that the time-sharing condition is satisfied, the optimal solutions are derived based on the Lagrange duality method. Simulation results validate the effectiveness of the proposed schemes. It is shown that the proposed schemes can provide satisfactory eavesdropping performance improvement even with zero SC QoS degradation requirement.

IEEE Transactions on Wireless CommunicationsJan 6, 202218 citations

Jamming-Assisted Eavesdropping Over Parallel Fading Channels

Yitao Han, Lingjie Duan, Rui Zhang

Unlike passive eavesdropping, proactive eavesdropping is recently proposed to use jamming to moderate a suspicious link's communication rate for facilitating simultaneous eavesdropping. This paper advances the proactive eavesdropping research by considering a practical half-duplex mode for the legitimate monitor (e.g., a government agency) and dealing with the challenging case that the suspicious link opportunistically communicates over parallel fading channels. To increase eavesdropping success probability, we propose cognitive jamming for the monitor to change the suspicious link's long-term belief on the parallel channels' distributions and thereby induce it to transmit more likely over a smaller subset of unjammed channels with a lower transmission rate. As the half-duplex monitor cannot eavesdrop the channel that it is simultaneously jamming to, our jamming design should also control the probability of such “own goal” that occurs when the suspicious link chooses one of the jammed (uneavesdroppable) channels to transmit. We formulate the optimal jamming design problem as a mixed integer nonlinear programming (MINLP) and show that it is non-convex. Nevertheless, we prove that the monitor should optimally use the maximum jamming power if it decides to jam, for maximally reducing the suspicious link's communication rate and driving the suspicious link out of the jammed channels. Then we manage to simplify the MINLP to integer programming and reveal a fundamental trade-off in deciding the number of jammed channels: jamming more channels helps reduce the suspicious link's communication rate for overhearing more clearly but increases own goal probability and thus decreases eavesdropping success probability. Finally, we extend our study to the two-way suspicious communication scenario and show that there is another interesting trade-off in deciding the common jammed channels for balancing bidirectional eavesdropping performances. Numerical results show that our optimized jamming-assisted eavesdropping schemes greatly increase eavesdropping success probability as compared with the conventional passive eavesdropping.

arXiv:1902.07420IEEE Transactions on Information Forensics and SecurityFeb 26, 201965 citations

Proactive Eavesdropping via Jamming in NOMA Network

Tung Pham Huu, Van Nhan Vo, Hung Tran +2 more

Recently, non-orthogonal multiple access (NOMA) has been considered as a promising technique in 5G network, and many investigations have addressed on the physical layer security to improve the security performance. In this paper, an alternative problem, where the eavesdropping process is considered as a legal activity, will be analyzed to track suspicious communications. More specifically, we study a wireless surveillance system in which the legitimate monitor is equipped with multi-antenna to overhear the messages between the suspicious receiver and the suspicious transmitter. Suspicious users are grouped into pairs and use the NOMA technique to transmit signals to a suspicious base station. Meanwhile, the legitimate monitor (LM) simultaneously transmits jamming signals, listens to suspicious links, decode-and-forward (DF) the eavesdropped information to the legitimate eavesdropper (LE). Based on the proposed mechanism, we investigate the power allocation policies for jamming signals of the legitimate monitor under deterministic and non-deterministic interference channel. Accordingly, we derive the closed-form expression of the successful eavesdropping probability for the best and the worst user to evaluate the system performance. Monte Carlo simulations are provided to verify our analytical results.

IEEE AccessJan 1, 20213 citations