Designing an Image Encryption Scheme Based on Compressive Sensing and Non-Uniform Quantization for Wireless Visual...

Area of Science:

• Computer Science
• Electrical Engineering
• Cryptography

Background:

• Wireless visual sensor networks (WVSN) face security and data challenges due to wireless transmission and large image data volumes.
• Existing encryption schemes using compressive sensing (CS) and chaotic systems are often vulnerable to chosen-plaintext attacks (CPA).

Purpose of the Study:

• To design a novel, secure, and robust encryption method for WVSN.
• To address limitations in existing encryption methods, particularly CPA vulnerability and accurate compression ratio (CR) evaluation.

Main Methods:

• A new method based on non-uniform quantization (NQ) is proposed.
• The true compression ratio (CR) is evaluated considering limited data precision.
• An optimized logistic map (OLM) is designed to overcome logistic map (LM) periodic windows.

Main Results:

• The proposed method demonstrates improved security against CPA.
• Accurate CR evaluation is achieved by accounting for data precision limitations.
• The cryptosystem exhibits superior anti-jamming performance compared to existing schemes under noise and data loss.

Conclusions:

• The novel non-uniform quantization method enhances security and anti-jamming performance for WVSN.
• The study provides a more realistic evaluation of compression ratios in image encryption.
• The optimized logistic map improves the chaotic system's properties for cryptographic applications.