Propose a new Firefly-Fast Learning Network model based Intrusion-Detection System
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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Blue Eyes Intelligence Engineering & Sciences Publication
2019
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/704/1/DNJ9727_7d7fc08ded10dafb3d6ff412d15ccc31.pdf http://eprints.uthm.edu.my/704/ https://doi.org/10.35940/ijitee.L1027.10812S219 |
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| Summary: | 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. |
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