Synchronization of chaotic-type delayed neural networks and its application
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 processi...
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| Format: | Article |
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Springer Verlag
2018
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| author | Kalpana, Muthusamy Ratnavelu, Kurunathan Balasubramaniam, Pagavathi Kamali, Mohd Zahurin Mohamed |
| author_facet | Kalpana, Muthusamy Ratnavelu, Kurunathan Balasubramaniam, Pagavathi Kamali, Mohd Zahurin Mohamed |
| author_sort | Kalpana, Muthusamy |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:54:55Z |
| format | Article |
| id | um.eprints-21712 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:54:55Z |
| publishDate | 2018 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | um.eprints-217122019-07-31T02:04:02Z http://eprints.um.edu.my/21712/ Synchronization of chaotic-type delayed neural networks and its application Kalpana, Muthusamy Ratnavelu, Kurunathan Balasubramaniam, Pagavathi Kamali, Mohd Zahurin Mohamed Q Science (General) QA Mathematics 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. Springer Verlag 2018 Article PeerReviewed 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 https://doi.org/10.1007/s11071-018-4208-z <https://doi.org/10.1007/s11071-018-4208-z>. https://doi.org/10.1007/s11071-018-4208-z doi:10.1007/s11071-018-4208-z |
| spellingShingle | Q Science (General) QA Mathematics Kalpana, Muthusamy Ratnavelu, Kurunathan Balasubramaniam, Pagavathi Kamali, Mohd Zahurin Mohamed Synchronization of chaotic-type delayed neural networks and its application |
| title | Synchronization of chaotic-type delayed neural networks and its application |
| title_full | Synchronization of chaotic-type delayed neural networks and its application |
| title_fullStr | Synchronization of chaotic-type delayed neural networks and its application |
| title_full_unstemmed | Synchronization of chaotic-type delayed neural networks and its application |
| title_short | Synchronization of chaotic-type delayed neural networks and its application |
| title_sort | synchronization of chaotic type delayed neural networks and its application |
| topic | Q Science (General) QA Mathematics |
| work_keys_str_mv | AT kalpanamuthusamy synchronizationofchaotictypedelayedneuralnetworksanditsapplication AT ratnavelukurunathan synchronizationofchaotictypedelayedneuralnetworksanditsapplication AT balasubramaniampagavathi synchronizationofchaotictypedelayedneuralnetworksanditsapplication AT kamalimohdzahurinmohamed synchronizationofchaotictypedelayedneuralnetworksanditsapplication |