The impressive growth of secrecy-sensitive wireless applications calls for methods to complement traditional cryptography. In particular, physical-layer security is attractive to enhance communication confidentiality by exploiting the characteristics of the wireless environment. Recent works on information-theoretic wireless network secrecy have shown how to exploit interference to enhance the level of information confidentiality for node spatial distribution according to a homogeneous Poisson point process. We propose a framework for design and analysis of inhomogeneous Poisson networks with maximum secrecy rate. We determine the effects of the inhomogeneous node spatial distribution on the secrecy metrics, which provide guidelines for network design.

Maximum secrecy rate in inhomogeneous poisson networks / Chisci, Giovanni*; Conti, Andrea; Mucchi, Lorenzo; Win, Moe Z.. - STAMPA. - (2017), pp. 2102-2106. ( 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 Hilton New Orleans Riverside, usa 5-9 Mar 2017) [10.1109/ICASSP.2017.7952527].

Maximum secrecy rate in inhomogeneous poisson networks

Mucchi, Lorenzo
;
2017

Abstract

The impressive growth of secrecy-sensitive wireless applications calls for methods to complement traditional cryptography. In particular, physical-layer security is attractive to enhance communication confidentiality by exploiting the characteristics of the wireless environment. Recent works on information-theoretic wireless network secrecy have shown how to exploit interference to enhance the level of information confidentiality for node spatial distribution according to a homogeneous Poisson point process. We propose a framework for design and analysis of inhomogeneous Poisson networks with maximum secrecy rate. We determine the effects of the inhomogeneous node spatial distribution on the secrecy metrics, which provide guidelines for network design.
2017
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Hilton New Orleans Riverside, usa
5-9 Mar 2017
Chisci, Giovanni*; Conti, Andrea; Mucchi, Lorenzo; Win, Moe Z.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1112921
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