Anzeige
Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Cognitive Model for Alert Correlation in a Distributed Environment
verfasst von : Ambareen Siraj, Rayford B. Vaughn
Erschienen in: Intelligence and Security Informatics
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The area of alert fusion for strengthening information assurance in systems is a promising research area that has recently begun to attract attention. Increased demands for “more trustworthy” systems and the fact that a single sensor cannot detect all types of misuse/anomalies have prompted most modern information systems deployed in distributed environments to employ multiple, diverse sensors. Therefore, the outputs of the sensors must be fused in an effective and intelligent manner in order to provide an overall view of the status of such systems. A unified architecture for intelligent alert fusion will essentially combine alert prioritization, alert clustering and alert correlation. In this paper, we address the alert correlation aspect of sensor data fusion in distributed environments. A causal knowledge based inference technique with fuzzy cognitive modeling is used to correlate alerts by discovering causal relationships in alert data.