A visual security multi-key selection image encryption algorithm based on a new four-dimensional chaos and compressed...

Area of Science:

• Computer Science
• Information Security
• Applied Mathematics

Background:

• Image encryption is crucial for secure data transmission.
• Traditional methods often lack robustness against sophisticated attacks.
• Compressed sensing offers potential for efficient and secure image encryption.

Purpose of the Study:

• To propose a novel visual security image encryption algorithm based on compressed sensing.
• To enhance the security and robustness of image encryption.
• To resist chosen plaintext attacks and noise disturbances.

Main Methods:

• Utilizing a four-dimensional discrete chaotic map for key stream generation.
• Employing a Gaussian measurement matrix derived from a Chebyshev map, linked to carrier image features.
• Implementing a scrambling-cyclic shift-diffusion structure with dynamic pixel-value-based key adjustments.
• Embedding ciphertext into the high-frequency components of the carrier image after integer wavelet transform.

Main Results:

• The proposed algorithm demonstrates a large key space and high decryption key sensitivity.
• The visual security ciphertext image exhibits a similar histogram distribution to the original carrier image.
• The encryption scheme shows good robustness against noise attacks.
• The algorithm effectively resists chosen plaintext attacks.

Conclusions:

• The developed compressed sensing-based image encryption algorithm provides a secure and robust solution.
• The combination of chaotic maps, dynamic diffusion, and wavelet transform enhances encryption security.
• The algorithm is suitable for applications requiring visually secure image transmission.