Iterative window size estimation on self-similarity measurement for network traffic anomaly detection
An iterative method for estimating the optimum sample time (or simply window size) in self-similarity measurement of network traffic is introduced. The main purpose of this measurement is to identify anomaly in network traffic. When the network traffic is close to the self-similarity model, it is co...
Main Authors: | Idris, Mohd. Yazid, Abdullah, Abdul Hanan, Maarof, Mohd. Aizaini |
---|---|
Format: | Article |
Published: |
APCEP-Canada
2004
|
Subjects: |
Similar Items
-
Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic
by: Idris, Mohd. Yazid, et al.
Published: (2007) -
An iterative estimation of data window size for anomaly detection using self-similar feature in network traffic /
by: 334502 Mohd. Azaini Maarof, et al.
Published: (2004) -
Fast optimization method: an on-line hurst parameter estimator
by: Idris, Mohd. Yazid, et al.
Published: (2007) -
Multi-level sampling approach for continous loss detection using iterative window and statistical model
by: Rohani, Mohd. Fo’ad, et al.
Published: (2010) -
Uncovering anomaly traffic based on loss of self-similarity behavior using second order statistical model
by: Rohani, M. F., et al.
Published: (2007)