A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system
Currently, effective Intrusion-detection systems (IDS) still represent one of the important security tools. However, hybrid models based on the IDS achieve better results compared with intrusion detection based on a single algorithm. But even so, the hybrid models based on traditional algorithms sti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
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Elsevier Ltd
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/40450/ http://umpir.ump.edu.my/id/eprint/40450/1/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme.pdf http://umpir.ump.edu.my/id/eprint/40450/2/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme%20learning%20machine%20model%20based%20intrusion-detection%20system_ABS.pdf |
| _version_ | 1848826053027430400 |
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| author | Alsudani, Mustafa Qahtan Abbdal Reflish, Salah Moorthy, Kohbalan Adnan, Myasar Mundher |
| author_facet | Alsudani, Mustafa Qahtan Abbdal Reflish, Salah Moorthy, Kohbalan Adnan, Myasar Mundher |
| author_sort | Alsudani, Mustafa Qahtan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Currently, effective Intrusion-detection systems (IDS) still represent one of the important security tools. However, hybrid models based on the IDS achieve better results compared with intrusion detection based on a single algorithm. But even so, the hybrid models based on traditional algorithms still face different limitations. This work is focused on providing two main goals; firstly, analysis based on the main methods and limitations of the most-recent hybrid model-based on intrusion detection, secondly, to propose a novel hybrid IDS model called TLBO-ELM based on the Firefly algorithm and Fast Learning Network. |
| first_indexed | 2025-11-15T03:38:42Z |
| format | Article |
| id | ump-40450 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:38:42Z |
| publishDate | 2023 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-404502024-04-30T06:21:27Z http://umpir.ump.edu.my/id/eprint/40450/ A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system Alsudani, Mustafa Qahtan Abbdal Reflish, Salah Moorthy, Kohbalan Adnan, Myasar Mundher QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Currently, effective Intrusion-detection systems (IDS) still represent one of the important security tools. However, hybrid models based on the IDS achieve better results compared with intrusion detection based on a single algorithm. But even so, the hybrid models based on traditional algorithms still face different limitations. This work is focused on providing two main goals; firstly, analysis based on the main methods and limitations of the most-recent hybrid model-based on intrusion detection, secondly, to propose a novel hybrid IDS model called TLBO-ELM based on the Firefly algorithm and Fast Learning Network. Elsevier Ltd 2023-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40450/1/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme.pdf pdf en http://umpir.ump.edu.my/id/eprint/40450/2/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme%20learning%20machine%20model%20based%20intrusion-detection%20system_ABS.pdf Alsudani, Mustafa Qahtan and Abbdal Reflish, Salah and Moorthy, Kohbalan and Adnan, Myasar Mundher (2023) A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system. Materials Today: Proceedings, 80. pp. 2701-2705. ISSN 2214-7853. (Published) https://doi.org/10.1016/j.matpr.2021.07.015 https://doi.org/10.1016/j.matpr.2021.07.015 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Alsudani, Mustafa Qahtan Abbdal Reflish, Salah Moorthy, Kohbalan Adnan, Myasar Mundher A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system |
| title | A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system |
| title_full | A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system |
| title_fullStr | A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system |
| title_full_unstemmed | A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system |
| title_short | A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system |
| title_sort | new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/40450/ http://umpir.ump.edu.my/id/eprint/40450/ http://umpir.ump.edu.my/id/eprint/40450/ http://umpir.ump.edu.my/id/eprint/40450/1/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme.pdf http://umpir.ump.edu.my/id/eprint/40450/2/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme%20learning%20machine%20model%20based%20intrusion-detection%20system_ABS.pdf |