TELKOMNIKA Telecommunication Computing Electronics and Control
Lightweight digital imaging and communications in medicine image encryption for IoT system

TELKOMNIKA Telecommunication Computing Electronics and Control
Lightweight digital imaging and communications in medicine image encryption for IoT system

Five-dimensional chaotic map
Information entropy
Intensity
Lightweight present algorithm
Mean square error
Peak-to-signal noise ratio
Unified average changing

Diagnosis in healthcare systems relies heavily on the use of medical images.
Images such as X-rays, ultrasounds, computed tomography (CT) scans,
magnetic resonance imaging (MRIs), and other scans of the brain and other
internal organs of patients include private and personal information.
However, these images are vulnerable to unauthorized users who unlawfully
use them for non-diagnostic reasons due to the lack of security in
communication routes and the gaps in the storage systems of hospitals or
medical centers. Image encryption is a prominent technique used to protect
medical images from unauthorized access in addition to enhancing the
security of communication networks. In this paper, researchers offer a
lightweight cryptosystem for the secure encryption of medical images that
makes use of the present block cipher and a five-dimensional chaotic map.
More than 25 images from the open science framework (OSF) public
database of patients with coronavirus disease 2019 (COVID-19) were used
to evaluate the proposed system. DICOM stands for “digital imaging and
communications in medicine”. The efficiency of the proposed system is
proved in terms of adjacent pixels’ correlation analysis, National Institute of
Standards and Technology (NIST) analysis, mean square error, information
entropy, unified average changing intensity, peak-to-signal noise ratio,
entropy, and structure similarity index image.

Muntaha Abdulzahra Hatem, Balsam Abdulkadhim Hameedi, Jamal Nasir Hasoon

http://telkomnika.uad.ac.id

Mar 01, 2023

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