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Polysome Profiling without Gradient Makers or Fractionation Systems
Published on: June 1, 2021
New variable-order fractional chaotic systems for fast image encryption
Guo-Cheng Wu1, Zhen-Guo Deng2, Dumitru Baleanu3
1Data Recovery Key Laboratory of Sichuan Province, College of Mathematics and Information Science, Neijiang Normal University, Neijiang 641100, People's Republic of China.
This study introduces novel variable-order fractional chaotic systems with a short memory concept, enhancing image encryption security and efficiency. The new models demonstrate rich chaotic dynamics and improved performance in practical applications.
Area of Science:
- Chaos theory
- Fractional calculus
- Cryptography
Background:
- Fractional-order systems offer complex dynamics.
- Existing chaotic systems have limitations in security and efficiency.
- Image encryption requires robust and fast algorithms.
Purpose of the Study:
- To propose new variable-order fractional chaotic systems.
- To introduce a short memory concept for Caputo derivatives.
- To apply these systems to block image encryption.
Main Methods:
- Utilizing a piecewise constant function for fractional order definition.
- Employing the predictor-corrector method for numerical solutions.
- Extending the concept to fractional difference equations.
Main Results:
- Demonstrated rich chaotic dynamics in the proposed systems.
- Achieved generalized chaotic behaviors in fractional difference equations.
- Successfully applied the models to block image encryption with varying fractional orders per block.
Conclusions:
- The new variable-order fractional chaotic systems provide enhanced security for image encryption.
- The proposed method significantly reduces encryption time.
- This approach offers a promising direction for secure and efficient image encryption.
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