Event Data Exchange and Intrusion Alert Correlation in Heterogeneous Networks
If we want to correlate alerts from various intrusion detection system (IDS) sources, its is necessary that the sources of alerts agree on what they actually are seeing, on how to report what they are seeing and on the amount of information they should report. In this paper, we review the Intrusion Detection Message Exchange Format (IDMEF) data model as an event data exchange mechanism and analyze how different correlation algorithms are being utilized in real-life systems. Based on these analyses, we propose a simple taxonomy of intrusion alert correlation algorithms, to complement the IDMEF data model.
|
© 2025 CISSE™. All rights reserved. This copyright notice applies only to website content on CISSE.info. It does not apply to the Open Journal platform at CISSE.info/journal. All journal articles are © their respective authors and published under the CC BY 4.0 license. |