Enhancing IoT Image Security Through Hybrid Encryption and Optimal Key Generation with Optimization

In today's world, the Internet of Things (IoT), the essential need for safeguarding digital data, namely digital images and videos, has come to the forefront. This study introduces a novel hybrid encryption technique characterized by specific attributes that favor efficiency and optimum key utilization, enhancing information technology security. Safeguarding the authenticity and privacy of digital images is of utmost importance owing to the many security obstacles presented during their processing and transmission. This research presents the IoT-based Hybrid Image Security Framework (IoT-HISF) using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), which comprises a comprehensive solution to address the difficulties. The research provides valuable contributions by creating high-speed encryption, focusing on generating vital cryptographic keys. The research introduces multi-layered security measures specifically designed to safeguard images in the IoT using the IoT-HISF framework. The IoT-HISF demonstrates performance outcomes in several metrics, such as peak signal-to-noise ratio (PSNR) with a value of 53.15 dB, Hamming distance of 0.02, bit error rate (BER) of 0.0002, accuracy of 97.82%, payload capacity of 5.32 bits per pixel (bpp), and security index of 97.05. These findings emphasize the exceptional image security capabilities of the IoT-HISF framework, particularly in IoT applications. The results indicate that the IoT-HISF enhances image security in IoT applications, including reliable safeguards for high-quality photos and optimizing resource efficiency.