QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach

Liao, Wei-Cheng; Chang, Tsung-Hui; Ma, Wing-Kin; Chi, Chong-Yung

doi:10.1109/tsp.2010.2094610

Cited by 384 publications

(273 citation statements)

References 33 publications

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“…It is noted that the secrecy capacity of wireless communications is limited and degraded due to the multipath fading effect. To this end, considerable research efforts were devoted to improving the wireless physical-layer security by employing the multipleinput multiple-output (MIMO) [12], artificial noise [13], [14] and beamforming techniques [15]- [17]. In addition, the joint artificial noise and beamforming design was investigated in [18] to enhance the wireless physical-layer security, where the artificial noise covariance and beamforming weights were jointly optimized with a target secrecy rate requirement.…”

mentioning

confidence: 99%

Secrecy Outage and Diversity Analysis of Cognitive Radio Systems

Zou

Liang

2014

IEEE J. Select. Areas Commun.

159

156

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Abstract-In this paper, we investigate the physical-layer security of a multi-user multi-eavesdropper cognitive radio system, which is composed of multiple cognitive users (CUs) transmitting to a common cognitive base station (CBS), while multiple eavesdroppers may collaborate with each other or perform independently in intercepting the CUs-CBS transmissions, which are called the coordinated and uncoordinated eavesdroppers, respectively. Considering multiple CUs available, we propose the round-robin scheduling as well as the optimal and suboptimal user scheduling schemes for improving the security of CUs-CBS transmissions against eavesdropping attacks. Specifically, the optimal user scheduling is designed by assuming that the channel state information (CSI) of all links from CUs to CBS, to primary user (PU) and to eavesdroppers are available. By contrast, the suboptimal user scheduling only requires the CSI of CUs-CBS links without the PU's and eavesdroppers' CSI. We derive closedform expressions of the secrecy outage probability of these three scheduling schemes in the presence of the coordinated and uncoordinated eavesdroppers. We also carry out the secrecy diversity analysis and show that the round-robin scheduling achieves the diversity order of only one, whereas the optimal and suboptimal scheduling schemes obtain the full secrecy diversity, no matter whether the eavesdroppers collaborate or not. In addition, numerical secrecy outage results demonstrate that for both the coordinated and uncoordinated eavesdroppers, the optimal user scheduling achieves the best security performance and the round-robin scheduling performs the worst. Finally, upon increasing the number of CUs, the secrecy outage probabilities of the optimal and suboptimal user scheduling schemes both improve significantly.Index Terms-Cognitive radio, multi-user scheduling, secrecy outage probability, secrecy diversity, diversity order.

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confidence: 99%

Secrecy Outage and Diversity Analysis of Cognitive Radio Systems

Zou

Liang

2014

IEEE J. Select. Areas Commun.

159

156

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“…Then, according to the Weierstrass theorem, the global maximum exists for (13), and the solution can be found by applying Fermat's rule. Namely, the optimal solution either satisfies z (V ) = 0 or is at the boundary, i.e.,…”

Section: B Optimization With Secrecy Constraintmentioning

confidence: 99%

“…[1]- [7]) and transmission scenarios (e.g., with user or jammer cooperation to facilitate security [8]- [10]). Alternatively, quality-of-service frameworks based on signalto-noise-ratio [11]- [13] or estimation theoretic tools, such as mean-squared error (MSE) have recently been used to measure the security performance of communication systems. The latter framework is of particular interest to design low-complexity practical secure systems and has been adopted in various studies [14]- [18].…”

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confidence: 99%

Optimal Parameter Encoding Based on Worst Case Fisher Information Under a Secrecy Constraint

Goken

Gezici

2017

IEEE Signal Process. Lett.

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Abstract-In this letter, optimal deterministic encoding of a uniformly distributed scalar parameter is performed in the presence of an eavesdropper. The objective is to maximize the worst case Fisher information of the parameter at the intended receiver while keeping the mean-squared error (MSE) at the eavesdropper above a certain level. The eavesdropper is modeled to employ the linear minimum MSE estimator based on the encoded version of the parameter. First, the optimal encoding function is derived when there exist no secrecy constraints. Next, to obtain the solution of the problem in the presence of the secrecy constraint, the form of the encoding function that maximizes the MSE at the eavesdropper is explicitly derived for any given level of worst case Fisher information. Then, based on this result, a low-complexity algorithm is provided to calculate the optimal encoding function for the given secrecy constraint. Finally, numerical examples are presented.Index Terms-Fisher information, mean-squared error (MSE), optimization, parameter estimation, secrecy.

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“…By contrast, in the case of known CSI, the legitimate transmitter can optimize its beamformer to enhance the data transmission rate for the intended UE for the sake of exceeding the eavesdropper's capacity. In this case, the transmitter can also combine the beamformer design with artificial noise genaration to degrade the overheard signals and to simultaneously enhance the legitimate UE's rate [25]. Naturally, having more serving APs and more dedicated jammers is capable of enhancing the UE's secrecy rate.…”

Section: Introduction a Motivation And Scopesmentioning

confidence: 99%

Secure User-Centric Clustering for Energy Efficient Ultra-Dense Networks: Design and Optimization

Lin

Zhang

Yang

et al. 2018

IEEE J. Select. Areas Commun.

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Abstract-With an unprecedented amount of sensitive private data generated by mobile user equipment (UE), securing the emerging ultra dense networks (UDNs) becomes critical. Hence we investigate secure UDNs in the context of user-centric clustering architectures relying on both a dedicated jamming strategy and an embedded jamming strategy. We formulate the secure user-centric clustering design for both strategies both with and without the eavesdropper's channel state information (CSI) from a secrecy-energy-efficiency perspective. Explicitly, we conceive secure transmission schemes, while guaranteeing both the throughput quality of service (TQoS) and the secrecy quality of service (SQoS). To efficiently solve the underlying NP-hard problem, a set of heuristic greedy algorithms are developed for diverse operating scenarios. Finally, our numerical results reveal the quantitative benefits of the proposed secure user-centric clustering architectures as a function of the network densities (i.e. AP, UE and eavesdropper) and of both the TQoS and the SQoS constraints on the secrecy-energy-efficiency trade-off in different scenarios.

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QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach

Cited by 384 publications

References 33 publications

Secrecy Outage and Diversity Analysis of Cognitive Radio Systems

Secrecy Outage and Diversity Analysis of Cognitive Radio Systems

Optimal Parameter Encoding Based on Worst Case Fisher Information Under a Secrecy Constraint

Secure User-Centric Clustering for Energy Efficient Ultra-Dense Networks: Design and Optimization

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