A New Chaos-based Image Cipher Using a Hash Function

Abstract

This paper presents a new chaos-based image cipher using a plaintext-related permutation. The cat map and Lorenz system are employed to shuffle the positions of image pixels and generate the diffusion keystream, respectively. The control parameters of the cat map, i.e. the permutation key, are determined by the Murmur2 hash value of the original image. Owing to the avalanche property of hash functions, completely different shuffled images will be produced even if there is a tiny difference between the original ones, and it helps accelerate the diffusion process. Experimental results indicate that the proposed scheme requires only one and two cipher cycles to achieve an acceptable and a satisfactory diffusion properties, respectively, whereas two and three cipher cycles are needed by typical schemes to achieve the same properties. Thorough security analysis is carried out, and the results demonstrate the satisfactory security of the proposed scheme.

E-commerce Application Based on Visual Cryptography and Chen’s Hyperchaotic

“…Deoxyribonucleic acid sequence (DNA) technology applied in the cryptography domain to enhance efficiency and security of hyperchaotic encryption schemes, the biological operations and algebra operations in DNA encoding and DNA computing is the main reason of using DNA techniques [5]. In the field of encryption, many algorithms and auxiliary functions used to build cryptographic systems such as Message-Digest Algorithm 5 (MD5) which define as a one of cryptographic hash functions which processes variable-length or the message and convert into a fixed 128-bit output [6]. The rest of this paper is organized as follows.…”

“…The researcher considered this scheme insecure if the shape pattern or color of just a portion of the secret image can be recovered from any given share. Fu C. et al [6] developing the chaos-based image cipher based on permutation the plain text and change the positions of image pixels. The diffusion keystream generated of the cat map and Lorenz system.…”

Enhanced Image Encryption Using Two Chaotic Maps

“…images require more time for encryption processing since image files are larger than text files; key sensitivity; and the decryption by conventional algorithms must be exactly identical to the real image. Multimedia systems have their own properties, such as large data sets, high pixel correlation and very high data frequency, which can eliminate the efficiency of encryption methods [2,3].…”