A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication
Abstract In this work, a high efficient next generation reservoir computing (HENG‐RC) paradigm that adopts the principle of local states correlation and attention mechanism is proposed, which is able to process dynamical information generated by both the low dimensional and very large spatiotemporal...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-03-01
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| Series: | IET Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cmu2.12559 |
| _version_ | 1811162402054471680 |
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| author | Leisheng Jin Zhuo Liu Ai Guan Zhen Wang Rui Xue Lijie Li |
| author_facet | Leisheng Jin Zhuo Liu Ai Guan Zhen Wang Rui Xue Lijie Li |
| author_sort | Leisheng Jin |
| collection | DOAJ |
| description | Abstract In this work, a high efficient next generation reservoir computing (HENG‐RC) paradigm that adopts the principle of local states correlation and attention mechanism is proposed, which is able to process dynamical information generated by both the low dimensional and very large spatiotemporal chaotic systems (VLSCS). From a dynamical system perspective, the dynamical characteristics such as density distribution, Poincaré plots and max Lyapunov exponents of the proposed HENG‐RC are studied. It is revealed that the trained model can be seen as a data‐driven chaotic system. Furthermore, a novel scheme of secure communication based on chaotic synchronization of two HENG‐RC systems is designed, of which the security is enhanced as the intruder needs to know simultaneously the training signal and details of the parameter setting in the HENG‐RC. The digital implementation using field programmable gate array is experimentally realised, proving the feasibility of the secure communication scheme. |
| first_indexed | 2024-04-10T06:29:03Z |
| format | Article |
| id | doaj.art-ebe1fe1805e2488bb04120d7b2a13bf8 |
| institution | Directory Open Access Journal |
| issn | 1751-8628 1751-8636 |
| language | English |
| last_indexed | 2024-04-10T06:29:03Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Communications |
| spelling | doaj.art-ebe1fe1805e2488bb04120d7b2a13bf82023-03-01T17:09:36ZengWileyIET Communications1751-86281751-86362023-03-0117448949610.1049/cmu2.12559A high efficient next generation reservoir computing to predict and generate chaos with application for secure communicationLeisheng Jin0Zhuo Liu1Ai Guan2Zhen Wang3Rui Xue4Lijie Li5College of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications Nanjing ChinaCollege of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications Nanjing ChinaCollege of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications Nanjing ChinaCollege of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications Nanjing ChinaCollege of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications Nanjing ChinaCollege of Engineering Swansea University Swansea UKAbstract In this work, a high efficient next generation reservoir computing (HENG‐RC) paradigm that adopts the principle of local states correlation and attention mechanism is proposed, which is able to process dynamical information generated by both the low dimensional and very large spatiotemporal chaotic systems (VLSCS). From a dynamical system perspective, the dynamical characteristics such as density distribution, Poincaré plots and max Lyapunov exponents of the proposed HENG‐RC are studied. It is revealed that the trained model can be seen as a data‐driven chaotic system. Furthermore, a novel scheme of secure communication based on chaotic synchronization of two HENG‐RC systems is designed, of which the security is enhanced as the intruder needs to know simultaneously the training signal and details of the parameter setting in the HENG‐RC. The digital implementation using field programmable gate array is experimentally realised, proving the feasibility of the secure communication scheme.https://doi.org/10.1049/cmu2.12559chaos synchronisationdata‐drivennext generation reservoir computingsecure communicationtime series prediction |
| spellingShingle | Leisheng Jin Zhuo Liu Ai Guan Zhen Wang Rui Xue Lijie Li A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication IET Communications chaos synchronisation data‐driven next generation reservoir computing secure communication time series prediction |
| title | A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication |
| title_full | A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication |
| title_fullStr | A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication |
| title_full_unstemmed | A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication |
| title_short | A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication |
| title_sort | high efficient next generation reservoir computing to predict and generate chaos with application for secure communication |
| topic | chaos synchronisation data‐driven next generation reservoir computing secure communication time series prediction |
| url | https://doi.org/10.1049/cmu2.12559 |
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