ArticleEntropy (Basel, Switzerland)2019
Three Techniques for Enhancing Chaos-Based Joint Compression and Encryption Schemes.
Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A Note on the Reproducibility of Chaos Simulation.Entropy (Basel, Switzerland) · 2020Article
- Cryptanalysis and Improvement of a Chaotic Map-Based Image Encryption System Using Both Plaintext Related Permutation and Diffusion.Entropy (Basel, Switzerland) · 2020Article
- The Effects of Padé Numerical Integration in Simulation of Conservative Chaotic Systems.Entropy (Basel, Switzerland) · 2019Article
- Implementing a Chaotic Cryptosystem by Performing Parallel Computing on Embedded Systems with Multiprocessors.Entropy (Basel, Switzerland) · 2019Article
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3 authors.
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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.
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