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Security Analysis of Image Encryption Based on Gyrator Transform by Searching the Rotation Angle with Improved PSO
Jun Sang1,2, Jun Zhao3, Zhili Xiang4,5
1Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China. jsang@cqu.edu.cn.
Sensors (Basel, Switzerland)
|August 8, 2015
Summary
An improved particle swarm optimization (PSO) algorithm efficiently searches for rotation angles in gyrator transform image encryption. This method enhances the security analysis of gyrator transform-based encryption techniques.
Area of Science:
- Optics and Photonics
- Computer Science
- Cryptography
Background:
- Gyrator transform is a key component in modern image encryption.
- The rotation angle in gyrator transform serves as a critical secret key.
- Exhaustive search for this continuous angle is computationally intensive.
Purpose of the Study:
- To develop an efficient method for searching the rotation angle in gyrator transform.
- To enhance the security analysis of gyrator transform-based image encryption.
Main Methods:
- Analysis of gyrator transform properties.
- Development of an improved particle swarm optimization (PSO) algorithm.
- Application of PSO for rotation angle search in a single gyrator transform.
Main Results:
- The proposed improved PSO algorithm effectively addresses local convergence and global fluctuations.
- Significantly improved efficiency in searching the rotation angle.
- Demonstrated suitability for the continuous nature of gyrator transform.
Conclusions:
- The improved PSO algorithm offers an efficient computational intelligence-based alternative for angle search.
- This research contributes to a deeper understanding of gyrator transform image encryption security.
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