Hybrid of fuzzy clustering neural network over NSL dataset for intrusion detection system
Intrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines on...
Saved in:
Main Authors: | Ahmad Zainaddin, Dahlia Asyiqin, Mohd Hanapi, Zurina |
---|---|
Format: | Article |
Language: | English |
Published: |
Science Publications
2013
|
Online Access: | http://psasir.upm.edu.my/id/eprint/30553/1/Hybrid%20of%20fuzzy%20clustering%20neural%20network%20over%20NSL%20dataset%20for%20intrusion%20detection%20system.pdf http://psasir.upm.edu.my/id/eprint/30553/ http://thescipub.com/abstract/10.3844/jcssp.2013.391.403 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An analysis of intrusion detection classification using supervised machine learning algorithms on NSL-KDD dataset / Sarthak Rastogi ... [et al.]
by: Rastogi, Sarthak, et al.
Published: (2022) -
Srikandi takluk gelanggang NSL
by: Badlishah, Muhammad Zuhaily
Published: (2022) -
A hybrid framework based on neural network MLP and means clustering for intrusion detection system
by: Lisehroodi, Mazyar Mohammadi, et al.
Published: (2013) -
A hybrid framework based on neural network MLP and K-means clustering for intrusion detection system
by: Lisehroodi, Mazyar Mohammadi, et al.
Published: (2013) -
Fuzzy c-means sub-clustering with re-sampling in network intrusion detection
by: Zainal, Anazida, et al.
Published: (2009)