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Proceedings Paper

Combined data encryption and compression using chaos functions
Author(s): Ranjan Bose; Saumitr Pathak
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Paper Abstract

Past research in the field of cryptography has not given much consideration to arithmetic coding as a feasible encryption technique, with studies proving compression-specific arithmetic coding to be largely unsuitable for encryption. Nevertheless, adaptive modelling, which offers a huge model, variable in structure, and as completely as possible a function of the entire text that has been transmitted since the time the model was initialised, is a suitable candidate for a possible encryption-compression combine. The focus of the work presented in this paper has been to incorporate recent results of chaos theory, proven to be cryptographically secure, into arithmetic coding, to devise a convenient method to make the structure of the model unpredictable and variable in nature, and yet to retain, as far as is possible, statistical harmony, so that compression is possible. A chaos-based adaptive arithmetic coding-encryption technique has been designed, developed and tested and its implementation has been discussed. For typical text files, the proposed encoder gives compression between 67.5% and 70.5%, the zero-order compression suffering by about 6% due to encryption, and is not susceptible to previously carried out attacks on arithmetic coding algorithms.

Paper Details

Date Published: 18 October 2004
PDF: 12 pages
Proc. SPIE 5561, Mathematics of Data/Image Coding, Compression, and Encryption VII, with Applications, (18 October 2004); doi: 10.1117/12.561800
Show Author Affiliations
Ranjan Bose, Indian Institute of Technology (India)
Saumitr Pathak, Indian Institute of Technology (India)

Published in SPIE Proceedings Vol. 5561:
Mathematics of Data/Image Coding, Compression, and Encryption VII, with Applications
Mark S. Schmalz, Editor(s)

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