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dc.contributor.supervisor Card, Paul (Electrical & Computer Engineering) McLeod, Robert (Electrical & Computer Engineering) en_US
dc.contributor.author Friesen, Travis
dc.date.accessioned 2013-09-11T17:22:33Z
dc.date.available 2013-09-11T17:22:33Z
dc.date.issued 2013-09-11
dc.identifier.uri http://hdl.handle.net/1993/22170
dc.description.abstract The growing speeds of computer networks are pushing the ability of anomaly detection algorithms and related systems to their limit. This thesis discusses the design of the Object Database, ODB, an analysis framework for evaluating anomaly detection algorithms in real time at gigabit or better speeds. To accomplish this, the document also discusses the construction a new dataset with known anomalies for verification purposes. Lastly, demonstrating the efficacy of the system required the implementation of an existing algorithm on the evaluation system and the demonstration that while the system is suitable for the evaluation of anomaly detection algorithms, this particular anomaly detection algorithm was deemed not appropriate for use at the packet-data level. en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject Computer Security en_US
dc.subject Databases en_US
dc.title An In-memory Database for Prototyping Anomaly Detection Algorithms at Gigabit Speeds en_US
dc.type info:eu-repo/semantics/masterThesis
dc.type master thesis en_US
dc.degree.discipline Electrical and Computer Engineering en_US
dc.contributor.examiningcommittee Gilmore, Colin (Electrical & Computer Engineering) Montufar, Jeanette (Civil Engineering) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note October 2013 en_US


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