Fast Color Image Security Standard for IoT Applications Using Gaussian Pyramid Based on Modified AES

Sophisticated and robust image security and encryption methods tend to be slow in execution and their effectiveness decreases in noisy environments. To address these challenges, this paper designs a fast and efficient image security approach for IoT applications. The approach employs a robust truncated AES algorithm for the encryption process, which is implemented on reduced-size images using a Gaussian pyramid approach. It provides a concise summary of image encryption techniques. Then, it introduces a quick and effective Gaussian pyramid (GP)-based encryption technique. The proposed method demonstrates enhanced performance in noisy environments by performing encryption in the luminance component after converting to the LAB color space. The effectiveness is compared using entropy analysis and assessment of visual artifacts. It is observed that encryption techniques are negatively impacted by noise attacks. The proposed method's performance is further evaluated under various noise variations and compared against the RSA algorithm.