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Automatic Detection of Abnormal Behavior in Computing Systems

I present RAACD, a software suite that detects misbehaving computers in large computing systems and presents information about those machines to the system administrator. I build this system using preexisting anomaly detection techniques. I evaluate my methods using simple synthesized data, real data containing coerced abnormal behavior, and real data containing naturally occurring abnormal behavior. I find that the system adequately detects abnormal behavior and significantly reduces the amount of uninteresting computer health data presented to a system administrator.

Identiferoai:union.ndltd.org:uky.edu/oai:uknowledge.uky.edu:cs_etds-1013
Date01 January 2013
CreatorsRoberts, James Frank
PublisherUKnowledge
Source SetsUniversity of Kentucky
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceTheses and Dissertations--Computer Science

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