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)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Fast Learning Network; Intrusion detection system; Optimization |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Faculty/Division: | Faculty of Computing |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 30 Apr 2024 06:21 |
| Last Modified: | 30 Apr 2024 06:21 |
| URI: | http://umpir.ump.edu.my/id/eprint/40450 |
| Download Statistic: | View Download Statistics |
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