A new intrusion detection system based on fast learning network and particle swarm optimization
Supervised Intrusion Detection System is a system that has the capability of learning from examples about previous attacks to detect new attacks. Using ANN based intrusion detection is promising for reducing the number of false negative or false positives because ANN has the capability of learning f...
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| Format: | Article |
| Language: | English |
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IEEE
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/22096/ http://umpir.ump.edu.my/id/eprint/22096/1/08326489.pdf |
| _version_ | 1848821507592028160 |
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| author | Ali, Mohammed Hasan Mohamad Fadli, Zolkipli Al Mohammed, B.A.D. Alyani, Ismail |
| author_facet | Ali, Mohammed Hasan Mohamad Fadli, Zolkipli Al Mohammed, B.A.D. Alyani, Ismail |
| author_sort | Ali, Mohammed Hasan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Supervised Intrusion Detection System is a system that has the capability of learning from examples about previous attacks to detect new attacks. Using ANN based intrusion detection is promising for reducing the number of false negative or false positives because ANN has the capability of learning from actual examples. In this article, a developed learning model for Fast Learning Network (FLN) based on particle swarm optimization(PSO) has been proposed and named as PSO-FLN. The model has been applied to the problem of intrusion detection and validated based on the famous dataset KDD99. Our developed model has been compared against a wide range of meta-heuristic algorithms for training ELM, and FLN classifier. PSO-FLN has outperformed other learning approaches in the testing accuracy of the learning. |
| first_indexed | 2025-11-15T02:26:27Z |
| format | Article |
| id | ump-22096 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:26:27Z |
| publishDate | 2018 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-220962018-09-24T06:14:16Z http://umpir.ump.edu.my/id/eprint/22096/ A new intrusion detection system based on fast learning network and particle swarm optimization Ali, Mohammed Hasan Mohamad Fadli, Zolkipli Al Mohammed, B.A.D. Alyani, Ismail QA75 Electronic computers. Computer science T Technology (General) Supervised Intrusion Detection System is a system that has the capability of learning from examples about previous attacks to detect new attacks. Using ANN based intrusion detection is promising for reducing the number of false negative or false positives because ANN has the capability of learning from actual examples. In this article, a developed learning model for Fast Learning Network (FLN) based on particle swarm optimization(PSO) has been proposed and named as PSO-FLN. The model has been applied to the problem of intrusion detection and validated based on the famous dataset KDD99. Our developed model has been compared against a wide range of meta-heuristic algorithms for training ELM, and FLN classifier. PSO-FLN has outperformed other learning approaches in the testing accuracy of the learning. IEEE 2018-03-27 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22096/1/08326489.pdf Ali, Mohammed Hasan and Mohamad Fadli, Zolkipli and Al Mohammed, B.A.D. and Alyani, Ismail (2018) A new intrusion detection system based on fast learning network and particle swarm optimization. IEEE Access, 6. 20255 -20261. ISSN 2169-3536. (Published) https://ieeexplore.ieee.org/document/8326489/ 10.1109/ACCESS.2018.2820092 |
| spellingShingle | QA75 Electronic computers. Computer science T Technology (General) Ali, Mohammed Hasan Mohamad Fadli, Zolkipli Al Mohammed, B.A.D. Alyani, Ismail A new intrusion detection system based on fast learning network and particle swarm optimization |
| title | A new intrusion detection system based on fast learning network and particle swarm optimization |
| title_full | A new intrusion detection system based on fast learning network and particle swarm optimization |
| title_fullStr | A new intrusion detection system based on fast learning network and particle swarm optimization |
| title_full_unstemmed | A new intrusion detection system based on fast learning network and particle swarm optimization |
| title_short | A new intrusion detection system based on fast learning network and particle swarm optimization |
| title_sort | new intrusion detection system based on fast learning network and particle swarm optimization |
| topic | QA75 Electronic computers. Computer science T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/22096/ http://umpir.ump.edu.my/id/eprint/22096/ http://umpir.ump.edu.my/id/eprint/22096/ http://umpir.ump.edu.my/id/eprint/22096/1/08326489.pdf |