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

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.

References

K. Eason, & P. Waterson, “The implications of e-health system delivery strategies for integrated healthcare: lessons from England,” International journal of medical informatics, 2013, vol. 82, no. 5, pp. 96-106.

Patel, Vishal, “A framework for secure and decentralized sharing of medical imaging data via blockchain consensus.” Health informatics journal, 2019, vol. 25, no. 4, pp. 1398-1411.

Cao, Fei, Hai K. Huang, and X. Q. Zhou, “Medical image security in a HIPAA mandated PACS environment,” Computerized medical imaging and graphics, 2003, vol. 27, no. 2, pp. 185-196.

Y. Wu, L. Zhang, S. Berretti, & S. Wan, “Medical image encryption by content-aware DNA computing for secure healthcare,” IEEE Transactions on Industrial Informatics, 2022, vol. 19, no. 2, pp. 2089-2098.

Kengnou Telem, Adélaïde Nicole, Hilaire Bertrand Fotsin, and Jacques Kengne, “Image encryption algorithm based on dynamic DNA coding operations and 3D chaotic systems.” Multimedia Tools and Applications, 2021, vol. 80, pp. 19011-19041.

N. Balaska, A. Belmeguenai, A. Goutas, Z. Ahmida, & S. Boumerdassi, “Securing medical data by combining encryption and robust blind medical image watermarking based on Zaslavsky chaotic map and DCT coefficients,” SN Computer Science, 2022, vol. 3, pp. 1-17.

Duan, Yating, et al, “A faster outsourced medical image retrieval scheme with privacy preservation.” Journal of Systems Architecture, 2022, vol. 122, p. 102356.

Q. D. Nguyen, & S. C. Huang,” Synthetic adaptive fuzzy disturbance observer and sliding-mode control for chaos-based secure communication systems”. IEEE Access, 2021, vol. 9, pp. 23907-23928.

Y. Duan, Y. Li, L. Lu, and Y. Ding, “A faster outsourced medical image retrieval scheme with privacy preservation,” Journal of Systems Architecture, 2022, vol. 122, p. 102356.

T.-L. Le, “Multilayer Interval Type-2 Fuzzy Controller Design for Hyperchaotic Synchronization,” IEEE Access, 2021, vol. 9, pp. 155286-155296.

T.-L. Le, C.-M. Lin, and T.-T. Huynh, “Self-evolving type-2 fuzzy brain emotional learning control design for chaotic systems using PSO,” Applied Soft Computing, 2018, vol. 73, pp. 418-433.

N. V. Giap, H. S. Vu, Q. D. Nguyen and S. -C. Huang, “Disturbance and Uncertainty RejectionBased on Fixed-Time Sliding-Mode Control for the Secure Communication of Chaotic Systems,” IEEE Access, 2021, vol. 9, pp. 133663-133685.

X. Wang, J. H. Park, H. Yang, X. Zhang and S. Zhong, “Delay-dependent fuzzy sampled-data synchronization of t–s fuzzy complex networks with multiple couplings,” IEEE Transactions on Fuzzy Systems, 2020, vol. 28, no. 1, pp. 178-189.

Y. Wu, R. Lu, P. Shi, H. Su and Z. -G. Wu, “Sampled-Data Synchronization of Complex Networks With Partial Couplings and T–S Fuzzy Nodes,” IEEE Transactions on Fuzzy Systems, 2018, vol. 26, no. 2, pp. 782-793.

Q. D. Nguyen, V. N. Giap, D. -H. Pham and S. -C. Huang, “Fast speed convergent stability of T-S fuzzy sliding-mode control and disturbance observer for a secure communication of chaos-based system,” in IEEE Access, 2022.

V. N. Giap, S. -C. Huang, Q. D. Nguyen and T. -J. Su, “Disturbance Observer-Based Linear Matrix Inequality for the Synchronization of Takagi-Sugeno Fuzzy Chaotic Systems,” IEEE Access, 2020, vol. 8, pp. 225805-225821.

C.-M. Lin, D.-H. Pham, and T.-T. Huynh, “Synchronization of chaotic system using a brainimitated neural network controller and its applications for secure communications,” IEEE Access, 2021, vol. 9, pp. 75923-75944.