An In-memory Database for Prototyping Anomaly Detection Algorithms at Gigabit Speeds
dc.contributor.author | Friesen, Travis | |
dc.contributor.examiningcommittee | Gilmore, Colin (Electrical & Computer Engineering) Montufar, Jeanette (Civil Engineering) | en_US |
dc.contributor.supervisor | Card, Paul (Electrical & Computer Engineering) McLeod, Robert (Electrical & Computer Engineering) | en_US |
dc.date.accessioned | 2013-09-11T17:22:33Z | |
dc.date.available | 2013-09-11T17:22:33Z | |
dc.date.issued | 2013-09-11 | |
dc.degree.discipline | Electrical and Computer Engineering | en_US |
dc.degree.level | Master of Science (M.Sc.) | en_US |
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.description.note | October 2013 | en_US |
dc.identifier.uri | http://hdl.handle.net/1993/22170 | |
dc.language.iso | eng | en_US |
dc.rights | open access | en_US |
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 | master thesis | en_US |