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VIIP
2001

Visual Behavior Characterization for Intrusion Detection in Large Scale Systems

9 years 3 months ago
Visual Behavior Characterization for Intrusion Detection in Large Scale Systems
This work focuses on the visual representation of relations towards aiding the exploration and analysis of network intrusions. Fundamentally, the visual representations aid an analyst in comprehending the activity of individuals incorporated within the data set. Their actions are represented visually using a node and link metaphor. The visualization aids the analyst in identifying the complex interactions intrinsic to identifying the overall goal of an individual, i.e., the individuals true behavior. Such analyses are becoming critical with the continuing growth of the Internet and the corresponding growth of hackers and attempted intrusions. This is complicated by the fact that hackers, in general, will attempt to hide their activities from analysis; thus increasing the complexity of the analysis needed to identify their actions, particularly when a successful intrusion has occurred. Key Words: Information Visualization, Intrusion Detection, Computer Security
Robert F. Erbacher
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where VIIP
Authors Robert F. Erbacher
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