%0 Journal Article %T Moving dispersion method for statistical anomaly detection in intrusion detection systems %J The ISC International Journal of Information Security %I Iranian Society of Cryptology %Z 2008-2045 %A Golic', J. Dj. %D 2009 %\ 07/25/2009 %V 1 %N 2 %P 71-90 %! Moving dispersion method for statistical anomaly detection in intrusion detection systems %K Intrusion Detection %K Statistical anomaly detection %K Dispersion measure %K Concentration measure %K Variance %K linear regression %K EWMA techniques %R 10.22042/isecure.2015.1.2.2 %X A unified method for statistical anomaly detection in intrusion detection systems is theoretically introduced. It is based on estimating a dispersion measure of numerical or symbolic data on successive moving windows in time and finding the times when a relative change of the dispersion measure is significant. Appropriate dispersion measures, relative differences, moving windows, as well as techniques for their efficient estimation are proposed. In particular, the method can be used for detecting network traffic anomalies due to network failures and network attacks such as (distributed) denial of service attacks, scanning attacks, SPAM and SPIT attacks, and massive malicious software attacks. %U https://www.isecure-journal.com/article_39168_371828506e964cfe2685e139edaebfde.pdf