Dynamic Substitution and Confusion-Diffusion-Based Noise-Resistive Image Encryption Using Multiple Chaotic Maps

Abstract

The advancement in wireless communication has encouraged the process of data transferring through the Internet. The process of data sharing via the Internet is prone to several attacks. The sensitive information can be protected from hackers with the help of a process called Encryption. Owing to the increase in cyberattacks, encryption has become a vital component of modern-day communication. In this article, an image encryption algorithm is suggested using dynamic substitution and chaotic systems. The suggested scheme is based upon the chaotic logistic map, chaotic sine maps and the dynamical substitution boxes (S-boxes). In the proposed scheme, the S-box selection is according to the generated sequence by deploying the chaotic sine map. To evaluate the robustness and security of the proposed encryption scheme, different security analysis like correlation analysis, information entropy, energy, histogram investigation, and mean square error are performed. The keyspace and entropy values of the enciphered images generated through the proposed encryption scheme are over 2 278 and 7.99 respectively. Moreover, the correlation values are closer to zero after comparison with the other existing schemes. The unified average change intensity (UACI) and the number of pixel change rate (NPCR) for the suggested scheme are greater than 33, 99.50% respectively. The simulation outcomes and the balancing with state-of-the-art algorithms justify the security and efficiency of the suggested scheme.

A Novel Chaotic Permutation-Substitution Image Encryption Scheme Based on Logistic Map and Random Substitution

“…If a small change in input causes 50% or greater change in output then the cryptosystem satisfies strict avalanche criteria [40], [41].…”

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

“…For image encryption, chaos-based S-boxes include those generated from the chaotic sine map [139] and the logistic map [140]. Wang and Zhang [141] also proposed an algorithm with multiple S-box substitutions, where the order of the boxes is determined by a random chaos sequence.…”

Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model

“…Scholars have suggested selective encryption techniques to reduce correlation and redundancy [37,38]. For instance, some approaches encrypt critical compression coefficients [39] and others encrypt the interleaved patient information included in images [40], while others encrypt only the important bits of particular coefficients using a stream cipher [41][42][43][44]. However, such security techniques have several vulnerabilities, such as high computational time and weak security, which may also result in data loss and some false negative diagnoses [45][46][47].…”