Image Encryption and Authentication With Elliptic Curve Cryptography and Multidimensional Chaotic Maps

Many researchers have used the properties of popular Elliptic Curve Cryptography(ECC) to devise a stronger and faster image encryption algorithm assure secrecy images during online transmission. In this paper, robust curve based authentication model for both grayscale color has been proposed. The uses secure Diffie-Hellman(ECDH) key exchange compute shared session along with improved ElGamal encoding scheme. 3D 4D Arnold Cat maps are effectively scramble transform values plain pixels. A well-structured digital signature is verify authenticity encrypted prior decryption. produces good-quality cipher an average entropy 7.9993 7.99925 individual components images. high NPCR 99.6%, UACI 33.3% low correlation computational costs minimized point multiplication operations. proposed resilience against statistical, differential, chosen-plaintext(CPA), known-plaintext(KPA) occlusion attacks.