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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Three Techniques for Enhancing Chaos-Based Joint Compression and Encryption Schemes.

Chao-Jen Tsai1, Huan-Chih Wang1, Ja-Ling Wu2

  • 1Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces three techniques to improve chaos-based joint compression and encryption (JCAE) schemes, enhancing speed, compression ratio, and accuracy for static and streaming data.

Keywords:
chaotic mapcompressionencryptionlook-up tablestreaming data

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Area of Science:

  • Computer Science
  • Information Security
  • Data Compression

Background:

  • Chaos-based joint compression and encryption (JCAE) schemes offer a unique approach to data security and size reduction.
  • Existing JCAE schemes face challenges in execution time, compression efficiency, and accuracy, particularly for streaming data.
  • Multidimensional lookup table overheads and frequency distribution estimation accuracy are key areas for improvement.

Purpose of the Study:

  • To propose and evaluate three novel techniques for enhancing chaos-based JCAE schemes.
  • To improve the execution speed, compression ratio, and estimation accuracy of JCAE methods.
  • To develop modified JCAE schemes suitable for both static files and streaming data.

Main Methods:

  • The first technique utilizes auxiliary data structures to accelerate existing JCAE schemes.
  • The second method reduces multidimensional lookup table overheads by selecting essential sub-tables.
  • The third technique enhances frequency distribution estimation for streaming data compression by weighting symbols based on their position.

Main Results:

  • The proposed techniques significantly improve the execution time and compression ratio of chaos-based JCAE schemes.
  • Accuracy of frequency distribution estimations for streaming data compression is notably increased.
  • Two modified JCAE schemes, one for static files and one for streaming data, were successfully developed and tested.

Conclusions:

  • The developed techniques effectively enhance the performance of chaos-based JCAE schemes.
  • The modified schemes demonstrate faster processing and reduced file sizes compared to existing methods.
  • The research validates the effectiveness of the proposed techniques for practical JCAE applications.