A color image encryption scheme utilizing a logistic-sine chaotic map and cellular automata

Area of Science:

• Computer Science
• Information Security
• Applied Mathematics

Background:

• 5G technology increases visual data transmission, demanding enhanced privacy.
• Existing chaotic encryption methods lack security due to single-layer approaches.
• Need for advanced algorithms to protect sensitive image data.

Purpose of the Study:

• To develop a secure and robust multi-layer image encryption algorithm.
• To address the limitations of single-layer chaotic encryption methods.
• To enhance visual data privacy in networked environments.

Main Methods:

• Utilizing the Logistic-Sine chaotic Map (LSCM) for generating chaotic sequences.
• Implementing cellular automata for increased complexity and attack resistance.
• Employing a multi-layer encryption strategy involving channel separation and transformations.

Main Results:

• The proposed algorithm demonstrates high security and strong robustness against noise and data loss.
• Superior performance in statistical and correlation analyses compared to existing methods.
• Effective obfuscation and increased resistance to attacks.

Conclusions:

• The multi-layer image encryption algorithm offers significant application value for visual data privacy.
• The integration of LSCM and cellular automata enhances encryption security.
• The algorithm is well-suited for protecting sensitive images in 5G networks.