Anomaly-based intrusion detection using fuzzy rough clustering
It is an important issue for the security of network to detect new intrusion attack and also to increase the detection rates and reduce false positive rates in Intrusion Detection System (IDS). Anomaly intrusion detection focuses on modeling normal behaviors and identifying significant deviations, w...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2006
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/7458/1/Abdullah_Abd_Hanan_2006_Anomaly_BAsed_Intrusion_Detection_Fuzzy.pdf http://eprints.utm.my/id/eprint/7458/ http://dx.doi.org/10.1109/ICHIT.2006.253508 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|