A study on advanced statistical analysis for network anomaly detection
Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. Misuse detection algorithms model know attack behavior. They compare sensor data to attack patterns learned from the training data. Anomaly detection algorithms model normal b...
Saved in:
Main Authors: | Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan |
---|---|
Format: | Monograph |
Published: |
Faculty of Computer Science and Information System
2005
|
Online Access: | http://eprints.utm.my/id/eprint/9074/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Packet header anomaly detection using statistical analysis
by: Yassin, Warusia, et al.
Published: (2014) -
Iterative window size estimation on self-similarity measurement for network traffic anomaly detection
by: Idris, Mohd. Yazid, et al.
Published: (2004) -
Anomaly network intrusion detection method in network security based on principle component analysis
by: Chimphlee, Witcha, et al.
Published: (2006) -
Host-based packet header anomaly detection using statistical analysis
by: Yassin, Warusia, et al.
Published: (2013) -
Ensemble of clustering algorithms for anomaly intrusion detection system
by: Benqdara, Salima, et al.
Published: (2014)