An Effective Framework for Chaotic Image Encryption Based on 3D Logistic Map

Abstract

In this paper, an effective framework for chaotic encryption based on a three-dimensional logistic map is presented together with secure hash algorithm-3 (SHA-3) and electrocardiograph (ECG) signal. Following the analysis of the drawbacks, namely, fixed key and low sensitivity, of some current algorithms, this work tries to solve these two problems and includes two contributions: (1) removal of the phenomenon of summation invariance in a plain-image, for which SHA-3 is proposed to calculate the hash value for the plain-image, with the results being employed to influence the initial keys for chaotic map; (2) resolution of the problem of fixed key by using an ECG signal, that can be different for different subjects or different for same subject at different times. The Wolf algorithm is employed to produce all the control parameters and initial keys in the proposed encryption method. It is believed that combining with the classical architecture of permutation-diffusion, the summation invariance in the plain-image and shortcoming of a fixed key will be avoided in our algorithm. Furthermore, the experimental results and security analysis show that the proposed encryption algorithm can achieve confidentiality.

Achieving a reversible lower dimensionality transformation for picture archiving and communication system in healthcare

“…Compared to some of the recent encryption algorithms presented in [8–10], the proposed framework shows improved performance in terms of its encryption capability. The proposed framework is a single fused system for both image compression and encryption.…”

“…Therefore, we have a total of 21 tuneable parameters that determine the key space and it is evident that this cryptosystem offers a significantly large key space to avoid brute force attack. Compared to some of the recent encryption algorithms presented in [8][9][10], the proposed framework shows improved performance in terms of its encryption capability. The proposed framework is a single fused system for both image compression and encryption.…”

An Unequal Image Privacy Protection Method Based on Saliency Detection

“…where L is the normalization operation, ϑ ∈ G r , and the parameters of φ ϑ and ω are the weights for each of the components, which are set as φ ϑ � ω � 1/5. e second term in (5) corresponds to all four feature maps G r detected as significant regions. After these four steps, the saliency map can be obtained.…”

“…Image encryption technology can prevent privacy leakage and can ensure secure image data sharing on cloud platforms. Conventional image encryption technology can be divided into two categories: full encryption [2][3][4][5][6] and selective encryption [7][8][9][10][11][12]. Full encryption serves to encrypt the complete image data, which not only causes high complexity and low efficiency but also cannot satisfy the rapid expansion of image data demand.…”

Efficient and Secure Image Encryption Algorithm Using a Novel Key-Substitution Architecture

“…on quantum [9]- [13], on waves [14], [15], on electrocardiograph (ECG) signals [16] and on chaos [17]- [26]. Most image ciphers adopt the traditional confusion-diffusion structure that was proposed by Fridrich [27].…”