研究目的
To enhance the encryption security in image cryptography by introducing a novel non-integer fractional order concept as secret keys and adaptively selecting the encryption sequence based on another chaos generator.
研究成果
The APFCML based encryption enhances security by introducing fractional order as new secret keys and adaptively selecting the encryption sequence, resulting in higher encryption quality and less visual perception compared to the original CML. The algorithm demonstrates superior performance in statistical analysis and visual inspection tests.
研究不足
The study focuses on the Lena image for testing and does not explore the algorithm's performance across a wide range of images or under various attack scenarios.
1：Experimental Design and Method Selection:
The study employs the Adaptive Pixel-Selection Fractional Chaotic Map Lattices (APFCML) algorithm for image encryption, utilizing fractional logistic equations and chaos parameters as secret keys.
2：Sample Selection and Data Sources:
The Lena image is used as a test case for encryption and decryption processes.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned in the paper.
4：Experimental Procedures and Operational Workflow:
The encryption and decryption algorithms involve converting image pixels into sequential data, applying fractional logistic equations with secret keys, and iterating through cycles and iterations for encryption.
5：Data Analysis Methods:
Performance is evaluated through visual inspection, histogram analysis, correlation coefficient analysis, cross-correlation equation, and Gray Modification Average Value (GAVE).
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