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

IEEE Access

Diptendu Sinha Roy¹  Rabindra Kumar Barik²  Chittaranjan Pradhan³  Priyansi Parida³  Xiao-Zhi Gao⁴ 

[1] Department of Computer Science and Engineering, NIT Meghalaya, Shillong, India;School of Computer Applications, KIIT University, Bhubaneswar, Odisha, India;School of Computer Engineering, KIIT University, Bhubaneswar, India;School of Computing, University of Eastern Finland, Kuopio, Finland;

关键词: Arnold cat map;    chaotic map;    digital signature;    elliptic curve cryptography;    image encryption;   

DOI  :  10.1109/ACCESS.2021.3072075

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown