Synchronization of chaotic-type delayed neural networks and its application

Kalpana, Muthusamy and Ratnavelu, Kurunathan and Balasubramaniam, Pagavathi and Kamali, Mohd Zahurin Mohamed (2018) Synchronization of chaotic-type delayed neural networks and its application. Nonlinear Dynamics, 93 (2). pp. 543-555. ISSN 0924-090X, DOI

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Our proposed image encryption is based on synchronization of chaotic fuzzy cellular neural networks (FCNNs) with different time delays and uses sampled-data controller. (i) It is known that the chaotic system plays a vital role in secure communication. (ii) FCNNs are more suitable for image processing due to its local connectedness. (iii) There are some results derived on theory part for the problem of synchronization of chaotic delayed FCNNs. (iv) We raise the following question: Is it possible to utilize these obtained chaotic values via FCNNs to image encryption? (v) Finally, we tried the above and succeed. Moreover, numerical instance and comparison results show that the proposed scheme works well and is resistant to differential attack.

Item Type: Article
Funders: Fundamental Research Grant Scheme (FRGS) from MoHE under Grant No. FP051-2016
Uncontrolled Keywords: Chaos; Encryption; Fuzzy cellular neural networks; Leakage delay; Linear matrix inequality; Sampled-data controller
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Centre for Foundation Studies in Science > Mathematics Division
Faculty of Science > Institute of Mathematical Sciences
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 31 Jul 2019 02:04
Last Modified: 31 Jul 2019 02:04

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