A Novel Medical Image Protection Scheme Using a 3-Dimensional Chaotic System

Abstract

Recently, great concerns have been raised regarding the issue of medical image protection due to the increasing demand for telemedicine services, especially the teleradiology service. To meet this challenge, a novel chaos-based approach is suggested in this paper. To address the security and efficiency problems encountered by many existing permutation-diffusion type image ciphers, the new scheme utilizes a single 3D chaotic system, Chen's chaotic system, for both permutation and diffusion. In the permutation stage, we introduce a novel shuffling mechanism, which shuffles each pixel in the plain image by swapping it with another pixel chosen by two of the three state variables of Chen's chaotic system. The remaining variable is used for quantification of pseudorandom keystream for diffusion. Moreover, the selection of state variables is controlled by plain pixel, which enhances the security against known/chosen-plaintext attack. Thorough experimental tests are carried out and the results indicate that the proposed scheme provides an effective and efficient way for real-time secure medical image transmission over public networks.

Chaos based crossover and mutation for securing DICOM image

“…This is because of their non-uniform key distribution and limited erratic range of chaotic sequences [25][26][27][28]. In order to overcome these difficulties, many researchers have adapted higher dimensional chaotic maps [29][30][31][32]. In [29], the 3D chaotic map is employed to permute and diffuse the DICOM image pixels.…”

“…In order to overcome these difficulties, many researchers have adapted higher dimensional chaotic maps [29][30][31][32]. In [29], the 3D chaotic map is employed to permute and diffuse the DICOM image pixels. In this work it can be seen that three or four variables are used for shuffling the image pixels in the plain image.…”

Medical Image Encryption and Compression Scheme Using Compressive Sensing and Pixel Swapping Based Permutation Approach

“…Mandates for ensuring health data security have been issued by the federal government, such as Health Insurance Portability and Accountability Act (HIPAA), enacted by the United states Congress and signed by president Bill Clinton in 1996 [2,3]. Moreover, several major medical imaging communities such as American College of Radiology (ACR) have issued guidelines and mandates for ensuring medical image security, for example, the Picture Archiving and Communication Systems (PACS) [4]. However, transmission of medical image of PACS is generally within a hospital intranet whose security measures or instruments are often lacking [3].…”

Double-image encryption scheme combining DWT-based compressive sensing with discrete fractional random transform

“…Therefore, to protect the secret image from leakage in the process of transmission and storage, various image encryption schemes have been presented recently. Due to the excellent properties of unpredictability, ergodicity and sensitivity to their parameters and initial values, chaotic maps have been applied to design image encryption schemes [1][2][3][4][5]. Moreover, some optical transforms have been developed as pixel diffusion tools for the security of images, for instance, fractional Fourier transform (FrRT) [6], Gyrator transform (GT) [7], Fresnel transform (FST) [8], and fractional random transform [9].…”