An Efficient Image Encryption Technique Based on Optimized Key Generation in ECC Using Genetic Algorithm

Nowadays image encryption has turned into an approach to transmit interactive image information with utmost confidentiality and authenticity. In order to transmit the secret images, there are lot of image encryption techniques are available. Among these techniques, elliptic curve cryptography (ECC) is one of the fascinating techniques to maintain image information as securely and confidentially. The key generation process of the ECC method, generate the public and private key pair that is used to encrypt and decrypt an image. During the encryption process, the public key is randomly generated. In the proposed method decryption process, the private key (H) is generated by using the genetic algorithm (GA)-based optimization technique. To evaluate the performance of the image is taken as a fitness value for the optimization by using the PSNR value. Thus, the proposed method offers an optimal PSNR value compared with existing methods.