Jamming-Assisted Eavesdropping Over Parallel Fading Channels

Abstract

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 nonconvex. Nevertheless, we prove that the monitor should optimally use the maximum jamming power if it decides to jam, for maximally reducing 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 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.

Jamming-Assisted Proactive Eavesdropping Over Two Suspicious Communication Links

“…Wireless surveillance, suspicious communication, proactive eavesdropping, jamming, beamforming, interference cancellation. fading channels [18]. Specifically, in [9] and [10] the authors studied the wireless surveillance of a two-hop decode-and-forward (DF) relaying communication systems.…”

Wireless Surveillance With Interference Exploitation in Unauthorized Underlaid D2D Networks

“…The authors in [26] designed proactive eavesdropping with cooperative jamming in a helpful FD relay-assisted network and extended their work with a spoofing method in [27]. In [28], the author proposed a jamming-assisted method for proactive eavesdropping in parallel fading channels and analyzed the tradeoff between the number of jammed channels and the eavesdropping probability. With respect to the underlay scenario, Li et al studied proactive eavesdropping in cognitive radio networks in [29], and Feizi et al proposed antenna selection methods for FD cellular networks in [30].…”

Proactive Eavesdropping With Masked Power Beacon for Energy-Constrained Suspicious Communication

“…Also, by approximating Bessel function efficiently, [12] proposed a near-optimal jamming power selection scheme in the amplify-and-forward relay system. Recently, [13] considered a jamming-assisted proactive eavesdropping scheme over parallel fading channels, where the monitor injected its jamming power into a subset of channels to force the suspicious transmitter to reselect one best channel, based on this idea [13] derived the optimal number of jamming channels and proposed corresponding optimal jamming power allocation scheme. At the same time, [14] considered a proactive eavesdropping scheme in an unmanned aerial vehicle (UAV)-aided suspicious communication system, where the suspicious UAV intended to broadcast common information to various ground suspicious receivers.…”

“…In fact, it is the involved structure of each term in the expression of R 3 that makes the optimization for P2 more complex. To simplify this structure, we first approximate the expression of each γ D,i , i ∈ 3 shown in (13). Note that…”