研究目的
To reduce the correlation between adjacent pixels in a plaintext image and solve the small key space problem in image encryption algorithms by proposing a new method based on 2D-VMD and an 8D hyper-chaotic system.
研究成果
The proposed encryption method effectively reduces pixel correlation, has a large key space, and shows good resistance to statistical and differential attacks. It is sensitive to plain-images and keys, but the time for decomposition varies with mode number.
研究不足
The decomposition time of 2D-VMD increases with the number of modes, which can affect encryption efficiency. Finding an appropriate number of modes for decomposition is a challenge.
1:Experimental Design and Method Selection:
The method uses 2D-VMD for adaptive decomposition of color images into modes to break spatial correlation, combined with an 8D hyper-chaotic system for generating key sequences. The encryption involves pixel scrambling and substitution using these sequences.
2:Sample Selection and Data Sources:
256 × 256 24-bit true-color images (e.g., Lena, Peppers) are used as test samples.
3:List of Experimental Equipment and Materials:
Software: MATLAB 2013a. No specific hardware mentioned.
4:3a. No specific hardware mentioned.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Steps include decomposing RGB components with 2D-VMD, generating key sequences from the hyperchaotic system, scrambling pixel positions, substituting pixel values, and reconstructing for decryption.
5:Data Analysis Methods:
Statistical analysis includes correlation coefficients, histograms, NPCR, UACI, information entropy, and NIST SP800-22 tests for randomness.
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