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Propose a new Firefly-Fast Learning Network model based Intrusion-Detection System
Mohammed Falih Badran1, Kohbalan Moorthy2, Nor Saradatul Akmar Zukifi3, Mohd Saberi Mohamad4, Safaai Deris5, Nan Md.Sahar6

1Mohammed Falih Badran, Microelectronics and Nanotechnology Shamsudin Research Center (MiNT-SRC), Faculty of Electrical and Electronics Engineering, Hussein Onn University Malaysia.

2Kohbalan Moorthy, Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia.

3Nor Saradatul Akmar Zukifi, Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia.

4Mohd Saberi Mohamad, Institute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, Kota Bharu, Malaysia.

5Safaai Deris, Institute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, Kota Bharu, Malaysia.

6Nan Md.Sahar, Microelectronics and Nanotechnology Shamsudin Research Center (MiNT-SRC), Faculty of Electrical and Electronics Engineering, Hussein Onn University Malaysia.

Manuscript received on 06 December 2019 | Revised Manuscript received on 20 December 2019 | Manuscript Published on 31 December 2019 | PP: 146-152 | Volume-8 Issue-12S2 October 2019 | Retrieval Number: L102710812S219/2019©BEIESP | DOI: 10.35940/ijitee.L1027.10812S219

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.

Keywords: Fast Learning Network, Intrusion Detection System, Optimization.
Scope of the Article: Ubiquitous Networks