Return to search

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

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.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:MWU.1993/22170
Date11 September 2013
CreatorsFriesen, Travis
ContributorsCard, Paul (Electrical & Computer Engineering) McLeod, Robert (Electrical & Computer Engineering), Gilmore, Colin (Electrical & Computer Engineering) Montufar, Jeanette (Civil Engineering)
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
Detected LanguageEnglish

Page generated in 0.0016 seconds