Computer Science – Artificial Intelligence
Scientific paper
2010-04-23
Proceedings of the 4th International Conference on Information Systems Security (ICISS 2008), Lecture Notes in Computer Scienc
Computer Science
Artificial Intelligence
15 pages, 3 tables, (ICISS 2008)
Scientific paper
The premise of automated alert correlation is to accept that false alerts from a low level intrusion detection system are inevitable and use attack models to explain the output in an understandable way. Several algorithms exist for this purpose which use attack graphs to model the ways in which attacks can be combined. These algorithms can be classified in to two broad categories namely scenario-graph approaches, which create an attack model starting from a vulnerability assessment and type-graph approaches which rely on an abstract model of the relations between attack types. Some research in to improving the efficiency of type-graph correlation has been carried out but this research has ignored the hypothesizing of missing alerts. Our work is to present a novel type-graph algorithm which unifies correlation and hypothesizing in to a single operation. Our experimental results indicate that the approach is extremely efficient in the face of intensive alerts and produces compact output graphs comparable to other techniques.
Aickelin Uwe
Tedesco Gianni
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