Enhanced Secrecy in Stochastic Wireless Networks: Artificial Noise With Secrecy Protected Zone

Recently, the use of artificial noise has attracted considerable attention in enhancing the physical-layer security of wireless systems. However, the interaction between artificially generated noise and the inherent network interference can significantly affect the level of secrecy. In this paper, w...

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Bibliographic Details
Published inIEEE transactions on information forensics and security Vol. 9; no. 10; pp. 1617 - 1628
Main Authors Seong Ho Chae, Wan Choi, Jung Hoon Lee, Quek, Tony Q. S.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1556-6013
1556-6021
DOI10.1109/TIFS.2014.2341453

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Summary:Recently, the use of artificial noise has attracted considerable attention in enhancing the physical-layer security of wireless systems. However, the interaction between artificially generated noise and the inherent network interference can significantly affect the level of secrecy. In this paper, we consider the additional secrecy enhancement with artificial noise and secrecy protected zone in the presence of eavesdroppers and interferers with unknown locations. Specifically, we derive the secrecy transmission rate and investigate the relationship between artificial noise and various system parameters like secrecy protected zone radius and intensity of interferers and eavesdroppers on the secrecy transmission rate. In interference-limited networks, we derive the optimal power allocation between the information-bearing signal and artificial noise to maximize the achievable secrecy transmission rate subject to connection and secrecy outage probabilities. Numerical results show that artificial noise is still beneficial in the presence of inherent network interference to improve secrecy transmission rate and provide rules of thumb to quantify when optimal power allocation is useful.
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ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2014.2341453