An Optimal Teaching and Learning based Optimization with Multi-Key Homomorphic Encryption for Image Security

Due to the drastic rise in multimedia content, digital images have become a major carrier of data. Generally, are communicated or archived via wireless communication changes, and significance data security gets increased. In order accomplish security, encryption is an effective technique which used encrypt using secret keys such way that it not readable by hacker. this view, study focuses on design Teaching Learning based Optimization (TLBO) with Multi-Key Homomorphic Encryption (MHE) technique, called MHE-TLBO algorithm. The goal algorithm optimally select multiple TLBO for decryption processes. addition, has derived fitness function involving peak signal noise ratio (PSNR) thereby ensures superior quality reconstructed image. For validating performance algorithm, comprehensive result analysis made simulation results ensured betterment interms different aspects.