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

Abstract

Many researchers have used the properties of the popular Elliptic Curve Cryptography(ECC) to devise 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 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.

Randomized Block Size (RBS) Model for Secure Data Storage in Distributed Server

“…Furthermore, the results are prepared based on three different directions horizontal, vertical, and diagonal. [27,32] and comparable with the method [26]. For the Boat image, the C-RSA has performed better than Chaos, Chaos-DNA, and DNA-BST [32].…”

“…The method generates an ample keyspace of sequence and robust against various attacks, and resolves the transmission and storage of encrypted data. Parida et al [27] proposed the Elliptic Curve Diffie-Hellman key exchange technique for the shared session key. Here authors use the 3D and 4D Arnold cat maps for image data security.…”

A Provably Secure IBE Transformation Model for PKC Using Conformable Chebyshev Chaotic Maps under Human-Centered IoT Environments

“…Recently, a robust elliptic curve-based image encryption and authentication model for grayscale and colour images have been presented [47]. The model uses the secure elliptic curve Diffie-Hellman key exchange to compute a shared session key with the enhanced ElGamal encoding scheme.…”

“…Our projected architecture showed that there is no need for an extensive public key database. Parida et al [47] The work presents elliptic curve-based image encryption and authentication model that uses a secure elliptic curve Diffie-Hellman key exchange to compute a shared session key with the enhanced ElGamal encoding scheme.…”

The Dichotomy of Neural Networks and Cryptography: War and Peace

“…[14]. It also serves to security-related scenarios such as information hiding [15], authentication [16,17], privacy [18], etc. Furthermore, cryptography is supported by a variety of enabling technologies and sciences including radix 2 n [19] and modular arithmetics [20], quantum computing [21,22], coding and information theory [23,24], Very Large Scale Integration [25], chaos theory [26], and error management techniques [27] are used to support cryptography.…”