Application of modal decomposition technique in network traffic prediction
Network traffic prediction is an important means of network security monitoring, and modal decomposition technology is the key to improve the accuracy of network traffic prediction. Therefore, it is imperative to study modal decomposition technology. In this paper, the advantages of Variational Mode...
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
ACM Digital Library
2019
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| Online Access: | https://eprints.ums.edu.my/id/eprint/28967/1/Application%20of%20Modal%20Decomposition%20Technique%20in%20Network%20Traffic%20Prediction%20ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/28967/2/Application%20of%20Modal%20Decomposition%20Technique%20in%20Network%20Traffic%20Prediction%20FULL%20TEXT.pdf |
| _version_ | 1825714206474764288 |
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| author | Jinmei Shi Leau, Yu-Beng Huandong Chen |
| author_facet | Jinmei Shi Leau, Yu-Beng Huandong Chen |
| author_sort | Jinmei Shi |
| collection | UMS |
| description | Network traffic prediction is an important means of network security monitoring, and modal decomposition technology is the key to improve the accuracy of network traffic prediction. Therefore, it is imperative to study modal decomposition technology. In this paper, the advantages of Variational Mode Decomposition (VMD) are explored by summarizing and reviewing the application of modal decomposition in network traffic prediction. The findings show that the performance of VMD mainly depends on its decomposition layers k, penalty factor C and Lagrange multiplier Θ. We propose a novel algorithm structure based on square root difference and minimum Theil inequality coefficient to optimize the performance of VMD by finding the best value for these parameters. Optimized Variational Mode Decomposition (OVMD) has improved the network traffic prediction accuracy in network security management. |
| first_indexed | 2024-03-06T03:08:21Z |
| format | Conference or Workshop Item |
| id | ums.eprints-28967 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:08:21Z |
| publishDate | 2019 |
| publisher | ACM Digital Library |
| record_format | dspace |
| spelling | ums.eprints-289672021-07-31T08:27:58Z https://eprints.ums.edu.my/id/eprint/28967/ Application of modal decomposition technique in network traffic prediction Jinmei Shi Leau, Yu-Beng Huandong Chen Network traffic prediction is an important means of network security monitoring, and modal decomposition technology is the key to improve the accuracy of network traffic prediction. Therefore, it is imperative to study modal decomposition technology. In this paper, the advantages of Variational Mode Decomposition (VMD) are explored by summarizing and reviewing the application of modal decomposition in network traffic prediction. The findings show that the performance of VMD mainly depends on its decomposition layers k, penalty factor C and Lagrange multiplier Θ. We propose a novel algorithm structure based on square root difference and minimum Theil inequality coefficient to optimize the performance of VMD by finding the best value for these parameters. Optimized Variational Mode Decomposition (OVMD) has improved the network traffic prediction accuracy in network security management. ACM Digital Library 2019 Conference or Workshop Item PeerReviewed text en https://eprints.ums.edu.my/id/eprint/28967/1/Application%20of%20Modal%20Decomposition%20Technique%20in%20Network%20Traffic%20Prediction%20ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/28967/2/Application%20of%20Modal%20Decomposition%20Technique%20in%20Network%20Traffic%20Prediction%20FULL%20TEXT.pdf Jinmei Shi and Leau, Yu-Beng and Huandong Chen (2019) Application of modal decomposition technique in network traffic prediction. In: CSAE 2019: Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 22 - 24 October 2019, Sanya, China. https://dl.acm.org/citation.cfm?id=3361307 |
| spellingShingle | Jinmei Shi Leau, Yu-Beng Huandong Chen Application of modal decomposition technique in network traffic prediction |
| title | Application of modal decomposition technique in network traffic prediction |
| title_full | Application of modal decomposition technique in network traffic prediction |
| title_fullStr | Application of modal decomposition technique in network traffic prediction |
| title_full_unstemmed | Application of modal decomposition technique in network traffic prediction |
| title_short | Application of modal decomposition technique in network traffic prediction |
| title_sort | application of modal decomposition technique in network traffic prediction |
| url | https://eprints.ums.edu.my/id/eprint/28967/1/Application%20of%20Modal%20Decomposition%20Technique%20in%20Network%20Traffic%20Prediction%20ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/28967/2/Application%20of%20Modal%20Decomposition%20Technique%20in%20Network%20Traffic%20Prediction%20FULL%20TEXT.pdf |
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