A plain-image correlative semi-selective medical image encryption algorithm using enhanced 2D-logistic map

Bin Zhang; Bahbibi Rahmatullah; Shir Li Wang; Zhaoyan Liu

doi:10.1007/s11042-022-13744-9

A plain-image correlative semi-selective medical image encryption algorithm using enhanced 2D-logistic map

Multimed Tools Appl. 2023;82(10):15735-15762. doi: 10.1007/s11042-022-13744-9. Epub 2022 Sep 23.

Authors

Bin Zhang^{1

2}, Bahbibi Rahmatullah¹, Shir Li Wang¹, Zhaoyan Liu³

Affiliations

¹ Data Intelligence and Knowledge Management, Faculty of Arts, Computing and Creative Industry, Sultan Idris Education University (UPSI), Tanjong Malim, Perak Malaysia.
² School of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
³ School of Cyber Engineering, Xidian University, Xi'an, China.

Abstract

Modern medical examinations have produced a large number of medical images. It is a great challenge to transmit and store them quickly and securely. Existing solutions mainly use medical image encryption algorithms, but these encryption algorithms, which were developed for ordinary images, are time-consuming and must cope with insufficient security considerations when encrypting medical images. Compared with ordinary images, medical images can be divided into the region of interest and the region of background. In this paper, based on this characteristic, a plain-image correlative semi-selective medical image encryption algorithm using the enhanced two dimensional Logistic map was proposed. First, the region of interest of a plain medical image is permuted at the pixel level, then for the whole medical image, substitution is performed pixel by pixel. An ideal compromise between encryption speed and security can be achieved by full-encrypting the region of interest and semi-encrypting the region of background. Several main types of medical images and some normal images were selected as the samples for simulation, and main image cryptanalysis methods were used to analyze the results. The results showed that the cipher-images have a good visual quality, high information entropy, low correlation between adjacent pixels, as well as uniformly distribute histogram. The algorithm is sensitive to the initial key and plain-image, and has a large keyspace and low time complexity. The time complexity is lower when compared with the current medical image full encryption algorithm, and the security performance is better when compared with the current medical image selective encryption algorithm.

Keywords: Chaotic map; Image encryption; Medical image; Partial encryption; SHA-256; Selective encryption.

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