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

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 structur...

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Bibliographic Details
Published in:Entropy (Basel, Switzerland) Switzerland), 2019-01, Vol.21 (1), p.40
Main Authors: Tsai, Chao-Jen, Wang, Huan-Chih, Wu, Ja-Ling
Format: Article
Language:English
Subjects:
Algorithms
chaotic map
compression
Compression ratio
Data compression
Data structures
encryption
Frequency distribution
look-up table
Lookup tables
Multimedia
Probability
streaming data
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Summary: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.
ISSN:1099-4300
1099-4300
DOI:10.3390/e21010040