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Encryption of Color Images with an Evolutionary Framework Controlled by Chaotic Systems
1School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China.
Entropy (Basel, Switzerland)
|May 16, 2023
Summary
This study introduces a novel evolutionary framework for secure color image encryption. The method enhances data protection by scrambling and encrypting images, offering superior security compared to existing methods.
Area of Science:
- Computer Science
- Information Security
- Cryptography
Background:
- The proliferation of digital color images necessitates robust security measures.
- Protecting sensitive image data from unauthorized access is a critical challenge in information security.
Purpose of the Study:
- To propose a novel evolutionary framework for secure color image encryption.
- To enhance the security of digital color images against unauthorized access.
Main Methods:
- Image content is first fully scrambled using bit-level operations and integer keys.
- Scrambled images are then encrypted with keys derived from an evolutionary process controlled by chaotic systems.
Main Results:
- The proposed approach generates encrypted color images with demonstrably high security.
- Experimental comparisons show superior performance over state-of-the-art color image encryption techniques.
Conclusions:
- The evolutionary framework offers a potentially valuable solution for secure color image encryption.
- The method provides enhanced overall security for applications requiring image data protection.
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