Open AccessPropose a new Firefly-Fast Learning Network model based Intrusion-Detection System
Author(s) -
Mohammed falih badran,
Kohbalan Moorthy,
Nor Saradatul,
Akmar Zukifi,
Mohd Saberi,
Safaai Deris,
Nan Md. Sahar,
Nan Md. Sahar
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l1027.10812s219
Subject(s) - intrusion detection system , computer science , firefly algorithm , hybrid learning , firefly protocol , intrusion , network security , machine learning , artificial intelligence , data mining , hybrid system , computer security , particle swarm optimization , zoology , geochemistry , biology , geology
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.