An ACP-Based Parallel Approach for Color Image Encryption Using Redundant Blocks.

Area of Science:

• Computer Science
• Cryptography
• Image Processing

Background:

• Growing concerns about image encryption security in edge computing and IoT environments.
• Existing cryptosystems are vulnerable to differential and chosen-plaintext attacks, risking secret key recovery.
• Need for advanced image encryption methods to counter sophisticated cyber threats.

Purpose of the Study:

• To propose a novel Artificial Image, Computational Experiment, and Parallel Execution (ACP)-based color image encryption approach.
• To enhance the security and efficiency of chaos-based image cryptosystems.
• To develop a method resistant to differential and chosen-plaintext attacks.

Main Methods:

• Utilizing a redundant blocks strategy with redundant spaces to prevent differential attacks and improve speed.
• Generating artificial images from real-world chaotic data (e.g., stock data) for computational experiments.
• Employing parallel execution for encryption and DNA XOR for merging subimages encrypted with real-world and simulated chaos.

Main Results:

• The proposed ACP mechanism effectively enhances chaos-based cryptosystem sophistication.
• The method demonstrates resistance against both differential and chosen-plaintext attacks.
• Experimental results confirm excellent encryption quality and robust security against known attacks.

Conclusions:

• The ACP-based image encryption approach offers a significant improvement in resisting common and advanced cryptanalytic attacks.
• The integration of real-world and simulated chaos, coupled with parallel processing, enhances encryption security and performance.
• This method provides a viable solution for secure color image encryption in sensitive applications.