Gesellschaft fr Informatik e.V.

Lecture Notes in Informatics


Detection of Intrusions and Malware & Vulnerability Assessment, GI SIG SIDAR Workshop, DIMVA 2004, Dortmund, Germany, July 6.7, 2004 P-46, 9-24 (2004).

GI, Gesellschaft für Informatik, Bonn
2004


Editors

Ulrich Flegel, Michael Meier (eds.)


Copyright © GI, Gesellschaft für Informatik, Bonn

Contents

Alarm reduction and correlation in intrusion detection systems

Tobias Chyssler , Stefan Burschka , Michael Semling , Tomas Lingvall and Kalle Burbeck

Abstract


Large Critical Complex Infrastructures are increasingly dependent on IP networks. Reliability by redundancy and tolerance are an imperative for such dependable networks. In order to achieve the desired reliability, the detection of faults, misuse, and attacks is essential. This can be achieved by applying methods of intrusion detection. However, in large systems, these methods produce an uncontrollable vast amount of data which overwhelms human operators. This paper studies the role of alarm reduction and correlation in existing networks for building more intelligent safeguards that support and complement the decisions by the operator. We present an architecture that incorporates Intrusion Detection Systems as sensors, and provides quantitatively and qualitatively improved alarms to the human operator. Alarm reduction via static and adaptive filtering, aggregation, and correlation is demonstrated using realistic data from sensors such as Snort, Samhain, and Syslog.


Full Text: PDF

GI, Gesellschaft für Informatik, Bonn
ISBN 3-88579-375-X


Last changed 24.01.2012 21:45:55