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Entropy 2019, 21(1), 40; https://doi.org/10.3390/e21010040

Three Techniques for Enhancing Chaos-Based Joint Compression and Encryption Schemes

1
Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan
2
Graduate Institute of Networking and Multimedia and Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan
*
Author to whom correspondence should be addressed.
Received: 13 December 2018 / Revised: 2 January 2019 / Accepted: 4 January 2019 / Published: 9 January 2019
(This article belongs to the Section Complexity)
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Abstract

In this work, three techniques for enhancing various chaos-based joint compression and encryption (JCAE) schemes are proposed. They respectively improved the execution time, compression ratio, and estimation accuracy of three different chaos-based JCAE schemes. The first uses auxiliary data structures to significantly accelerate an existing chaos-based JCAE scheme. The second solves the problem of huge multidimensional lookup table overheads by sieving out a small number of important sub-tables. The third increases the accuracy of frequency distribution estimations, used for compressing streaming data, by weighting symbols in the plaintext stream according to their positions in the stream. Finally, two modified JCAE schemes leveraging the above three techniques are obtained, one applicable to static files and the other working for streaming data. Experimental results show that the proposed schemes do run faster and generate smaller files than existing JCAE schemes, which verified the effectiveness of the three newly proposed techniques. View Full-Text
Keywords: compression; encryption; chaotic map; look-up table; streaming data compression; encryption; chaotic map; look-up table; streaming data
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Tsai, C.-J.; Wang, H.-C.; Wu, J.-L. Three Techniques for Enhancing Chaos-Based Joint Compression and Encryption Schemes. Entropy 2019, 21, 40.

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