Date Available
4-25-2013
Year of Publication
2013
Degree Name
Master of Science (MS)
Document Type
Master's Thesis
College
Engineering
Department/School/Program
Computer Science
First Advisor
Dr. Raphael A. Finkel
Abstract
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.
Recommended Citation
Roberts, James Frank, "Automatic Detection of Abnormal Behavior in Computing Systems" (2013). Theses and Dissertations--Computer Science. 11.
https://uknowledge.uky.edu/cs_etds/11
Included in
Digital Communications and Networking Commons, OS and Networks Commons, Theory and Algorithms Commons
