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Title: An audio encryption technique through compressive sensing and Arnold transform

Authors: Nishanth Augustine; Sudhish N. George; Deepthi P. Pattathil

Addresses: Department of ECE, LBS College of Engineering, Kasaragod, India ' Department of ECE, National Institute of Technology, Calicut, India ' Department of ECE, National Institute of Technology, Calicut, India

Abstract: In this paper, an audio encryption scheme using compressive sensing (CS) and Arnold transform-based scrambling is presented. In the proposed method, compressive sensing is done by using a key-based measurement matrix and the scrambling is carried out with the help of a key-based Arnold matrix. The use of these key-based matrices not only provides better security but also do away with their transmission and storage requirement. The measurement matrix is constructed by using the random numbers generated by a linear feedback shift register (LFSR) whose initial state is generated by a piece wise linear chaotic map (PWLCM), using three 32-bit keys whereas the Arnold matrix is constructed by the random numbers generated by using another 32-bit secret key, PWLCM and a logistic map. By combining secure compressive sensing and Arnold scrambling techniques, very high security can be ensured in addition to efficient channel usage, good resistivity to noise, best reconstruction performance, little encoder complexity and excellent scrambling of data. Experimental results prove the effectiveness of the proposed scheme.

Keywords: audio encryption; compressive sensing; Arnold transform; scrambling degree; residual intelligibility; key space; brute force attacks; known plain-text attacks; perceptual evaluation quality; robustness; cryptography; data security; linear feedback shift register; piecewise linear chaotic map; random numbers; secret keys; logistic maps.

DOI: 10.1504/IJTMCC.2015.072467

International Journal of Trust Management in Computing and Communications, 2015 Vol.3 No.1, pp.74 - 92

Received: 08 May 2014
Accepted: 19 Feb 2015

Published online: 14 Oct 2015 *

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