Digital medical image encryption approach in real-time applications

Authors

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2024.1.02

Keywords:

real time applications, medical images, encryption, security, peak detection

Abstract

Patient information and medical imaging data are now subject to stringent data security and confidentiality standards due to the proliferation of telemedicine techniques and medical imaging instruments. Because of the problems described above, as well as the possibility of data or information being stolen, this brings up the dilemma of transmitting data on medical images via an open network. In the past, potential solutions included the utilization of methods such as information concealment and image encryption. Nevertheless, attempting to reconstruct the original image utilizing these approaches may result in complications. In the process of this paper, an algorithm for safeguarding medical images based on the pixels of interest was established. Detection of image histogram peaks for the purpose of calculating peaks in medical images pixels of interest in medical image that have had their threshold values processed. The threshold is shown by taking the average of all the peaks in the histogram. After that, a Sudoku matrix is used to assign values of interest to each of these pixels. The proposed method will be assessed by a variety of statistical procedures, and the outcomes of these analyses will be compared to previously established standards. According to the findings, the suggested method has superior security performance compared to other image encryption methods already in use.

Author Biographies

Izz Abboud, Mustansiriyah University, Baghdad

Master of Engineering, Computer Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq.

Muaayed Al-Rawi, Mustansiriyah University, Baghdad

Researcher, Computer Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq.

Nasir Al-Awad, Mustansiriyah University, Baghdad

Professor, Computer Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq.

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Published

2024-03-29

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Section

Progressive information technologies, high-efficiency computer systems