Propose a new firefly-fast learning network model based intrusion-detection system

Badran, Mohammed Falih and Moorthy, Kohbalan and Zukifi, Nor Saradatul Akmar and Mohamad, Mohd Saberi and Deris, Safaai and Md.Sahar, Nan (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

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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: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electronic Enngineering
Depositing User: Miss Afiqah Faiqah Mohd Hafiz
Date Deposited: 16 Dec 2021 02:16
Last Modified: 16 Dec 2021 02:16

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