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A Cognitive Model for Alert Correlation in a Distributed Environment

  • Ambareen Siraj
  • Rayford B. Vaughn
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3495)

Abstract

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.

Keywords

Network security intelligent alert fusion alert correlation fuzzy cognitive modeling 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ambareen Siraj
    • 1
  • Rayford B. Vaughn
    • 1
  1. 1.Department of Computer Science and EngineeringCenter for Computer Security Research 

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