PHY Layer Security Based on Protected Zone and Artificial Noise

Romero-Zurita, Nabil; McLernon, Des; Ghogho, Mounir; Swami, Ananthram

doi:10.1109/lsp.2013.2252898

Cited by 58 publications

(32 citation statements)

References 7 publications

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“…The power allocation problem in (16) can be efficiently solved by linear search algorithms as in [20]. Finally, for the k th configuration we store the maximum value ofR k S in a normalised decreasing-order vectorδ 2 , similarly to what we did for the normalisedδ 1 .…”

Section: B Eigen-transmission Analysismentioning

confidence: 99%

Can Bob enhance the security of the multiple antenna wiretap channel?

Romero-Zurita

Ghogho

McLernon

et al. 2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Abstract-We address the physical layer security question of whether a multiple antenna receiver can enhance the secrecy rate of the multiple-input multiple-output wiretap channel by transmitting artificial noise from some of its antennas to jam a multiple antenna eavesdropper. To answer this question we use a QoS-MMSE approach to formulate a global constrained optimisation problem that is efficiently solved after approximating it by a semidefinite program. Results suggest that an improvement in secrecy rate is possible by transmitting artificial noise from an appropriately chosen number of the receiver's antennas. We introduce two antenna configuration selection strategies to reduce system complexity and obtain the best secrecy performance.

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Section: B Eigen-transmission Analysismentioning

confidence: 99%

Can Bob enhance the security of the multiple antenna wiretap channel?

Romero-Zurita

Ghogho

McLernon

et al. 2015

2015 IEEE International Conference on Communication Workshop (ICCW)

Self Cite

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“…In terms of the security issue, the authors in [8] designed a secure beamforming scheme in a SWIPT system, which can minimize the whole transmit power while maintaining the secrecy rate and energy harvesting at ER. Meanwhile, one of the technologies for enhancing the secrecy performance is to transmit artificial noise by jammers to interfere eavesdroppers [9]. The authors in [10,11] recently considered the PLS with the AN by treating energy harvesting (EH) receivers as potential eavesdroppers.…”

Section: Introductionmentioning

confidence: 99%

Physical Layer Security and Optimal Multi-Time-Slot Power Allocation of SWIPT System Powered by Hybrid Energy

Guo¹,

Li²,

Zhao³

2017

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Abstract:In this paper, a new approach is proposed to solve the constrained optimization problem of saving grid energy and increasing safety in a simultaneous wireless information and power transfer (SWIPT) system. The traditional grid energy is combined with the renewable energy to form a hybrid energy, which provides power for the system to achieve green wireless transmission. The transfer process of SWIPT system is divided into multiple time slots. The renewable energy is harvested and stored in battery at each time slot. A multi-time-slot artificial noise-assisted transmission strategy is proposed to reduce the signal to noise ratio (SNR) of eavesdropping link. A power allocation algorithm based on multi-time-slot golden section is given, which performs onedimensional search on the power ratio of artificial noise to determine the transmit power of source node. And then the allocation algorithm is utilized to dynamically configure the harvested renewable energy for each time slot. When the battery capacity is constant, the maximum renewable energy is being used to reduce the grid power consumption. Finally, the performances of proposed schemes are evaluated by simulations in terms of various tradeoffs.

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“…Recently, there have been efforts to better understand physical layer security in large-scale networks by using stochastic geometry. To enhance network security, various techniques, such as the protected zone [1], [2], artificial noise [3]- [8], and sectorized transmission [2], have been proposed in large-scale networks. Recently, artificial noise transmission with beamforming were developed against randomly distributed multiple eavesdroppers, assuming perfect channel state information (CSI) of the legitimate link [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Allocation for Artificial Noise in a Poisson Interference Field

Chae

Choi

2016

IEEE Commun. Lett.

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Network interference disturbs the legitimate receiver as well as eavesdroppers. Artificial noise transmission is able to indirectly control these negative and positive effects of interfering signals on secrecy communication and thus improves the secrecy transmission rate. Contrary to the previous results presuming some prior information on eavesdroppers, this letter studies secrecy enhancement via optimal use of an artificial noise without knowledge related to eavesdroppers. We derive the optimal use of artificial noise with constraints for reliability and secrecy level and the corresponding secrecy transmission rate in the presence of network interference for the worst scenario.

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PHY Layer Security Based on Protected Zone and Artificial Noise

Cited by 58 publications

References 7 publications

Can Bob enhance the security of the multiple antenna wiretap channel?

Can Bob enhance the security of the multiple antenna wiretap channel?

Physical Layer Security and Optimal Multi-Time-Slot Power Allocation of SWIPT System Powered by Hybrid Energy

Optimal Power Allocation for Artificial Noise in a Poisson Interference Field

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