Security analysis of rakeness-based compressed sensing

Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti

doi:10.1109/ISCAS.2016.7527215

Security analysis of rakeness-based compressed sensing

Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Compressed sensing, further to its ability of reducing resources spent in signal acquisition, may be seen as an implicit private-key encryption scheme. The level of achievable secrecy has been analyzed in the most classical settings, when the sensing matrix is made of independent and identically distributed entries. Yet, it is known that substantially improved acquisition can be achieved by tuning the statistics of such a matrix. The effect of such an optimization on the robustness with respect to classical cryptographic attacks is analyzed here.

Original language	English (US)
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	241-244
Number of pages	4
ISBN (Print)	9781479953400
DOIs	https://doi.org/10.1109/ISCAS.2016.7527215
State	Published - Jul 29 2016
Externally published	Yes

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10.1109/ISCAS.2016.7527215

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AU - Setti, Gianluca

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PY - 2016/7/29

Y1 - 2016/7/29

N2 - Compressed sensing, further to its ability of reducing resources spent in signal acquisition, may be seen as an implicit private-key encryption scheme. The level of achievable secrecy has been analyzed in the most classical settings, when the sensing matrix is made of independent and identically distributed entries. Yet, it is known that substantially improved acquisition can be achieved by tuning the statistics of such a matrix. The effect of such an optimization on the robustness with respect to classical cryptographic attacks is analyzed here.

AB - Compressed sensing, further to its ability of reducing resources spent in signal acquisition, may be seen as an implicit private-key encryption scheme. The level of achievable secrecy has been analyzed in the most classical settings, when the sensing matrix is made of independent and identically distributed entries. Yet, it is known that substantially improved acquisition can be achieved by tuning the statistics of such a matrix. The effect of such an optimization on the robustness with respect to classical cryptographic attacks is analyzed here.

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SP - 241

EP - 244

BT - Proceedings - IEEE International Symposium on Circuits and Systems

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Security analysis of rakeness-based compressed sensing

Abstract

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