Medical Images are Safe – an Enhanced Chaotic Scrambling Approach

Abstract

The patient data confidentiality is one of the vital security aspects in e-Health and m-Health services. In particular, providing confidentiality to the patient's medical image is essential and the protection approaches have to be explored in-depth due to the rapid progress in the technologies of teleradiology and PACS. In this study, the pseudo random number generators (PRNGs), namely, the linear congruential generator (LCG) and XOR shift generator (XSG) are improved and combined with improved logistic 2D coupled chaotic map to provide enhanced chaos based encryption. The proposed scheme encrypts the Digital Imaging and Communication in Medicine (DICOM) images to protect the patient confidentiality during the storage and transfer in radiological information system (RIS). The cipher image was measured with various security analyses and tested with different test suites to prove its randomness.

A New Algorithm for Medical Color Images Encryption Using Chaotic Systems

“…In this section, we implemented the proposed algorithm on two medical color images using the MATLAB 2017a software environment (in personal computer with core i7, 3.4GHz, RAM 16GB). As we stated in the introduction, the medical color images are obtained using the Medipix3RX chip technology that is used in today’s imaging devices [ 1 , 2 , 3 , 4 ].…”

“…where 2 is the variance. x and y are the gray values of two adjacent pixels, and N is the total number of pixels that are chosen from the image.…”

“…Therefore, more significance should be given to the security of the sensitive data that are included in medical images by DICOM (digital imaging communication in medicine). In this textuality, many problems using various cryptographic techniques have been proposed in the literature to overcome this problem [ 1 , 2 , 3 , 4 ]. In their paper, Abdel-Nabi and Al-Haj proposed a hybrid encryption algorithm using watermarking that offers high embedding capabilities for medical images.…”

“…Therefore, more significance should be given to the security of the sensitive data that are included in medical images by DICOM (digital imaging communication in medicine). In this textuality, many problems using various cryptographic techniques have been proposed in the literature to overcome this problem [1][2][3][4].…”

BentSign: keyed hash algorithm based on bent Boolean function and chaotic attractor

“…In [6,14,17,20,21,[28][29][30][31], and [36], a number of generation schemes and program tools based on chaotic attractors and shift registers, are proposed. They can be successfully integrated in social networks [19] and [37].…”