Medical image transmission in multi-state synchronization of chaotic systems using polynomial fuzzy modeling

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Purpose

The most important effects of the Internet of Things in healthcare include the ability to exchange information reduce hospitalization costs, and healthcare costs. The primary challenges of the Internet of Things in healthcare are security and privacy, with image transmission being particularly crucial in the areas of communication and security. The primary objective of this paper is to design a suitable channel for transmitting medical data based on chaotic synchronization that utilizes fuzzy modeling.

Methodology

This paper presents a new method for transmitting medical images to preserve patient information by synchronizing two fractional-order convolutional neural networks based on polynomial fuzzy modeling. Using chaotic signals as a carrier for medical images and employing a suitable fuzzy controller for synchronization at the receiver enhances the level of security and significantly reduces the likelihood of detection. In this scheme, a suitable fuzzy controller is designed to establish the stability of the closed-loop system. Then, considering the synchronization scheme based on the polynomial fuzzy model and its error detection, a chaotic masking method is proposed to encrypt images related to patients.

Findings

Simulations have been performed on color and black-and-white medical images. Encrypted and recovered images have been obtained using this scheme. The simulation and accuracy of the proposed method's results have been investigated using MATLAB software. To evaluate the performance of the proposed method, various criteria, including image histogram, signal-to-noise ratio, correlation, and information entropy, were assessed. The results demonstrate the effectiveness of the proposed method in image encryption.

Originality/Value

 This paper presents a new method for transmitting medical images to preserve patient information by synchronizing two fractional-order multi-convolutional systems based on polynomial fuzzy modeling. Using chaotic signals as a carrier for medical images and employing a suitable fuzzy controller for synchronization at the receiver enhances the level of security and significantly reduces the likelihood of detection. In this project, a suitable fuzzy controller is designed to establish the stability of the closed-loop system. Then, considering the multi-state synchronization scheme based on the polynomial fuzzy model and its error detection, a chaotic masking method is proposed to encrypt images related to patients.

Language:
Persian
Published:
Journal of Quality Engineering and Management, Volume:14 Issue: 3, Autumn 2024
Pages:
244 to 252
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