Understanding the decision rules for partitioning logs of intrusion detection systems (IDS)
by Joshua Ojo Nehinbe
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 3, No. 3, 2011

Abstract: Unauthorised accesses into computers are serious cyber warfare across the globe. Consequently, an intrusion detector is used for network forensics to maximally detect and report intrusions. The toolkit is generally designed to log tons of unauthorised activities with their respective attributes to assist in-depth analyses of the events. Unfortunately, there are several ways to cluster intrusive alerts. Besides, trade-offs between intra-cluster similarity and inter-cluster dissimilarity are difficult to discriminate failed attacks from successful attacks because the probabilities that some attacks will fail are often neglected during the investigations of audit logs. Consequently, the goodness of clusters of failed attacks is mismatched with that of successful attacks and accurate countermeasures are not often achieved. Therefore, this paper presents a partitioning clustering algorithm for reducing aforementioned problems. The model was evaluated using information gain and the results obtained demonstrated splitting criteria that best discriminate failed attacks in intrusion logs.

Online publication date: Sat, 29-Nov-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Internet Technology and Secured Transactions (IJITST):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com