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

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

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Many researchers have used the properties of the popular Elliptic Curve Cryptography(ECC) to devise princess polly dresses long sleeve a stronger and faster image encryption algorithm to assure the secrecy of images during online transmission.In this paper, a robust Elliptic curve based image encryption and authentication model for both grayscale and color images has been proposed.The model uses the secure Elliptic Curve Diffie-Hellman(ECDH) key exchange to compute a shared session key along with the improved ElGamal encoding scheme.3D and 4D Arnold Cat maps are used to effectively scramble and transform the values of plain image pixels.A well-structured digital signature is used to verify the authenticity superdry baseball top of the encrypted image prior to decryption.

The model produces good-quality cipher images with an average entropy of 7.9993 for grayscale and 7.99925 for the individual components of color images.The model has high average NPCR of 99.6%, average UACI of 33.

3% and low correlation for both grayscale and color images.The model has low computational costs with minimized point multiplication operations.The proposed model is robust with high resilience against statistical, differential, chosen-plaintext(CPA), known-plaintext(KPA) and occlusion attacks.