Surveillance and Intervention of Infrastructure-Free Mobile Communications: A New Wireless Security Paradigm

2019

IEEE Wireless Commun.

Self Cite

166

Integrating unmanned aerial vehicles (UAVs) into future wireless systems such as the fifth-generation (5G) cellular network is anticipated to bring significant benefits for both UAV and telecommunication industries. Generally speaking, UAVs can be used as new aerial platforms in the cellular network to provide communication services for terrestrial users, or become new aerial users of the cellular network served by the terrestrial base stations. Due to their high altitude, UAVs usually have dominant line-ofsight (LoS) channels with the ground nodes, which, however, pose new security challenges to future wireless networks with widely deployed UAVs. On one hand, UAV-ground communications are more prone than terrestrial communications to eavesdropping and jamming attacks by malicious nodes on the ground. On the other hand, compared to malicious ground nodes, malicious UAVs can launch more effective eavesdropping and jamming attacks to terrestrial communications. Motivated by the above, in this article, we aim to identify such new issues from a physical-layer security viewpoint and propose novel solutions to tackle them efficiently. Numerical results are provided to validate their effectiveness and promising directions for future research are also discussed.

Section: Discussionmentioning

confidence: 99%

Safeguarding Wireless Network with UAVs: A Physical Layer Security Perspective

Mei

2019

IEEE Wireless Commun.

Self Cite

166

“…Proof: See Appendix D. The reason why R II (n) decreases with n is because jamming more channels increases the chance that the ST chooses the jammed channels, and the ST will transmit at a lower rate to maintain target outage probability at the SR. A lower transmission rate R II (n) leads to a higher non-outage probability e −λ b σ 2 b (2 R II (n) −1)/P at the monitor, and thus the monitor can overhear more clearly. (16), non-outage probability in (17), and their product ϕ II (n) in (15). As n increases, it is observed that 1 − ρ(n) decreases and e −λ b σ 2 b (2 R II (n) −1)/P increases.…”

Section: Multiple Channelsmentioning

confidence: 97%

“…Next, we determine the non-outage probability e −λ b σ 2 b (2 R II (n) −1)/P at the monitor in (15), which is a function of R II (n). Similar to ρ(n), here R II (n) only depends on n. (17) Further, R II (n) monotonically decreases as n increases.…”

Section: Multiple Channelsmentioning

confidence: 99%

Jamming-Assisted Eavesdropping Over Parallel Fading Channels

Han

Duan

IEEE Trans.Inform.Forensic Secur.

2019

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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.

“…We first equivalently reformulate problem (8) as 4. The geometric explanation of optĝĝ to problem (15).…”

Section: B Optimal Solution To Problemmentioning

confidence: 99%

Jamming-Assisted Proactive Eavesdropping Over Two Suspicious Communication Links

Duan

IEEE Trans. Wireless Commun.

2020

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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