Proactive Eavesdropping With Full-Duplex Relay and Cooperative Jamming

Moon, Jihwan; Lee, Hoon; Song, Changick; Lee, Sunho; Lee, Inkyu

doi:10.1109/twc.2018.2863287

Cited by 51 publications

(44 citation statements)

References 31 publications

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“…For ease of exposition, the cycling period T, T = πL/v, is then discretized into N equally spaced time slots, i.e., T = Nδ t . Furthermore, the perfect channel state information (CSI) of all links are assumed to be available at E for characterizing the fundamental performance limit of proactive eavesdropping [13,18,22]. Particularly, since wireless channels between ground nodes and the UAV are dominated by LoS links in this paper, the legitimate monitor can perfectly obtain the channel gains of UAV-ground links by detecting the locations of corresponding nodes.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…Additionally, adaptive rate transmission is considered at the suspicious source according to the effective channel condition at the suspicious receiver. Thus, the suspicious transmitter adaptively adjusts its transmitting rate to a level decodable by the suspicious receiver [18,22]. Two protocols of the relay are discussed in the following subsections.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…However, the UAVs may also be misused by malicious users to jeopardize public safety [11]. To tackle this issue, wireless surveillance, in which authorized agencies eavesdrop on the communications of suspicious users such as criminals and terrorists legitimately, has been introduced [11][12][13][14][15][16][17][18][19]. In the field of wireless surveillance, passive eavesdropping [12] and proactive eavesdropping [13] are two fundamental strategies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Proactive eavesdropping in UAV-aided mobile relay systems

Dai

Sun

et al. 2020

J Wireless Com Network

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This paper studies a new wireless surveillance scenario, where a legitimate monitor attempts to eavesdrop on the dubious messages forwarded by an unmanned aerial vehicle (UAV)-aided suspicious relay. Specifically, we consider two relaying protocols commonly used by the UAV-aided relay, namely, amplify-and-forward (AF) and decode-and-forward (DF). For each relaying protocol, we maximize the average effective eavesdropping rate by optimizing the legitimate monitor's jamming power allocation, subject to the average power constraint. The optimal jamming power allocation solutions are derived in closed-form for each of the two protocols, respectively. Numerical results show that the proposed proactive eavesdropping approach can noticeably improve the eavesdropping rate compared to the reference schemes.

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Section: System Model and Problem Formulationmentioning

confidence: 99%

Section: System Model and Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Proactive eavesdropping in UAV-aided mobile relay systems

Dai

Sun

et al. 2020

J Wireless Com Network

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“…To degrade the channel performance at the PE against its eavesdropping, the LT adds AN signals to the transmit signals. We adopt the "key" distribution method for generating and removing AN in the frequency domain with practical complexity, as shown in Figure 2 (see, e.g., [28,29,[36][37][38] and the references therein for the similar setting). By leveraging the independence and short-term reciprocity of the wireless channels, the LT sends the corresponding keys with the secret method (see [39] for more details) at each time.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Joint Resource Allocation for Frequency-Domain Artificial Noise Assisted Multiuser Wiretap OFDM Channels with Finite-Alphabet Inputs

et al. 2019

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The security issue on the physical layer is of significant challenge yet of paramount importance for 5G communications. In some previous works, transmit power allocation has already been studied for orthogonal frequency division multiplexing (OFDM) secure communication with Gaussian channel inputs for both a single user and multiple users. Faced with peak transmission power constraints, we adopt discrete channel inputs (e.g., equiprobable Quadrature Phase Shift Keying (QPSK) with symmetry) in a practical communication system, instead of Gaussian channel inputs. Finite-alphabet inputs impose a more significant challenge as compared with conventional Gaussian random inputs for the multiuser wiretap OFDM systems. This paper considers the joint resource allocation in frequency-domain artificial noise (AN) assisted multiuser wiretap OFDM channels with discrete channel inputs. This security problem is formulated as nonconvex sum secrecy rate optimization by jointly optimizing the subcarrier allocation, information-bearing power, and AN-bearing power. To this end, with a suboptimal subcarrier allocation scheme, we propose an efficient iterative algorithm to allocate the power between the information and the AN via the Lagrange duality method. Finally, we carry out some numerical simulations to demonstrate the performance of the proposed algorithm.

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“…In addition, [8] proposed a spoofing relay approach to enhance the information surveillance capability. Recently, the proactive eavesdropping approach has been investigated under various system setups, including relay systems [9]- [12], multi-antenna systems [13]- [14], cognitive radio systems [15], UAV-enabled wireless networks [16]- [17], and parallel monitor's jamming signals, whereas the latter region is fixed when the linear minimum mean square error (MMSE) receiver is employed at the legitimate monitor.…”

Section: Introductionmentioning

confidence: 99%

Jamming-Assisted Proactive Eavesdropping Over Two Suspicious Communication Links

Zhang

Duan

Zhang

2020

IEEE Trans. Wireless Commun.

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This paper studies a new and challenging wireless surveillance problem where a legitimate monitor attempts to eavesdrop two suspicious communication links simultaneously. To facilitate concurrent eavesdropping, our multi-antenna legitimate monitor employs a proactive eavesdropping via jamming approach, by selectively jamming suspicious receivers to lower the transmission rates of the target links. In particular, we are interested in characterizing the achievable eavesdropping rate region for the minimum-mean-squared-error (MMSE) receiver case, by optimizing the legitimate monitor's jamming transmit covariance matrix subject to its power budget. As the monitor cannot hear more than what suspicious links transmit, the achievable eavesdropping rate region is essentially the intersection of the achievable rate region for the two suspicious links and that for the two eavesdropping links.The former region can be purposely altered by the monitor's jamming transmit covariance matrix, whereas the latter region is fixed when the MMSE receiver is employed. Therefore, we first analytically characterize the achievable rate region for the two suspicious links via optimizing the jamming transmit covariance matrix and then obtain the achievable eavesdropping rate region for the MMSE receiver case. In addition, as the achievable rate region for suspicious links is in general non-convex, we also propose a time-sharing based jamming strategy to enlarge this region and characterize the corresponding achievable eavesdropping rate region for the MMSE receiver case. Furthermore, we also extend our study to the MMSE with successive interference cancellation (MMSE-SIC) receiver case and characterize the corresponding achievable eavesdropping rate region by jointly optimizing the time-sharing factor

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Proactive Eavesdropping With Full-Duplex Relay and Cooperative Jamming

Cited by 51 publications

References 31 publications

Proactive eavesdropping in UAV-aided mobile relay systems

Proactive eavesdropping in UAV-aided mobile relay systems

Joint Resource Allocation for Frequency-Domain Artificial Noise Assisted Multiuser Wiretap OFDM Channels with Finite-Alphabet Inputs

Jamming-Assisted Proactive Eavesdropping Over Two Suspicious Communication Links

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