An In-memory Database for Prototyping Anomaly Detection Algorithms at Gigabit Speeds

dc.contributor.authorFriesen, Travis
dc.contributor.examiningcommitteeGilmore, Colin (Electrical & Computer Engineering) Montufar, Jeanette (Civil Engineering)en_US
dc.contributor.supervisorCard, Paul (Electrical & Computer Engineering) McLeod, Robert (Electrical & Computer Engineering)en_US
dc.date.accessioned2013-09-11T17:22:33Z
dc.date.available2013-09-11T17:22:33Z
dc.date.issued2013-09-11
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractThe 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.noteOctober 2013en_US
dc.identifier.urihttp://hdl.handle.net/1993/22170
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectComputer Securityen_US
dc.subjectDatabasesen_US
dc.titleAn In-memory Database for Prototyping Anomaly Detection Algorithms at Gigabit Speedsen_US
dc.typemaster thesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
travis_friesen.pdf
Size:
773.46 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.25 KB
Format:
Item-specific license agreed to upon submission
Description: