SECURE COMMUNICATION OF MEDICAL IMAGE VIA 5D CHAOTIC SYSTEM SYNCHRONIZATION USING A TAKAGI-KANG-SUGENO FUZZY BRAIN-IMITATED NEURAL NETWORK

Duc-Hung Pham; Ngoc- Thang Pham; Muhammad Shoaib; Tuyen Ngoc Le

Duc-Hung Pham Faculty of Electrical and Electronic Engineering, Hung Yen University of Technology and Education
Ngoc- Thang Pham Faculty of Electrical and Electronic Engineering, Hung Yen University of Technology and Education
Muhammad Shoaib Professor, AI Centre, Yuan Ze University, Taiwan
Tuyen Ngoc Le Assist. Prof., Department of Electronic Engineering, Ming Chi University of Technology, New Taipei, Taiwan

Keywords: Takagi-Kang-Sugeno fuzzy system, brain imitated neural network, chaotic 5D Lorentz system, medical image

Abstract

This research aims to create a new design for a Takagi-Kang-Sugeno fuzzy brain imitated neural network (TFBINN) by combining the mathematical models of a brain imitated neural network (BINN) and a Takagi-Kang-Sugeno (TSK) fuzzy system (TFS for synchronization control of a 5D Lorentz chaotic system. The proposed TFBINN synchronization technique is then applied to the transmission of medical images in a secure manner. A medical image is encoded into a chaotic trajectory and used as an image cipher. After transmission, the image can be decrypted using chaotic trajectory synchronization on the received signal.

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