Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring.

Area of Science:

• Computer Science
• Cybersecurity
• Information Security

Background:

• Surveillance camera systems raise privacy and cybersecurity concerns due to potential eavesdropping on wireless channels, especially Wi-Fi.
• Traditional encryption methods like Advanced Encryption Standard (AES) and Data Encryption Standard (DES) are computationally complex and struggle with multimedia data compression and decryption.
• Bandwidth limitations hinder the efficient application of conventional encryption techniques to multimedia data.

Purpose of the Study:

• To develop a novel secure video occupancy monitoring method that integrates encryption and compression.
• To address the privacy and cybersecurity threats associated with camera-based occupancy monitoring over wireless networks.
• To propose an efficient and robust encryption scheme suitable for multimedia data.

Main Methods:

• Exploited properties of Chebyshev map, intertwining map, logistic map, and orthogonal matrix for block permutation, substitution, and diffusion.
• Developed a novel secure video occupancy monitoring method incorporating encryption-compression.
• Utilized real-time simulations to evaluate the system's performance.

Main Results:

• The proposed encryption scheme demonstrates high sensitivity to initial seed parameters.
• Security analysis using parameters like correlation coefficient, entropy, contrast, and energy confirms the system's robustness.
• The method is efficient and secure compared to traditional encryption schemes.

Conclusions:

• The developed encryption-compression technique provides a secure and efficient solution for video occupancy monitoring.
• The system effectively mitigates privacy concerns and cybersecurity threats associated with wireless surveillance.
• The proposed method offers a robust and reliable approach for multimedia data encryption.