Mohammed Falih, Badran and Kohbalan, Moorthy and Nor Saradatul Akmar, Zulkifli and Mohd Saberi, Mohamad and Safaai, Deris and Nan, Md. Sahar (2019) Propose a new Firefly-Fast Learning Network model based Intrusion-Detection System. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8 (12S2). pp. 146-152. ISSN 2278-3075. (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 FA-FLN based on the Firefly algorithm and Fast Learning Network.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Fast Learning Network, Intrusion Detection System, Optimization |
| Subjects: | Q Science > Q Science (General) |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Dr. Kohbalan Moorthy |
| Date Deposited: | 30 Mar 2020 08:36 |
| Last Modified: | 30 Mar 2020 08:36 |
| URI: | http://umpir.ump.edu.my/id/eprint/28158 |
| Download Statistic: | View Download Statistics |
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