Behavior-based Worm Detection

dc.contributor.advisor	Li, Jun	en_US
dc.contributor.author	Stafford, John	en_US
dc.creator	Stafford, John	en_US
dc.date.accessioned	2012-10-26T01:43:09Z
dc.date.available	2012-10-26T01:43:09Z
dc.date.issued	2012
dc.description.abstract	The Internet has become a core component of our lives and businesses. Its reliability and availability are of paramount importance. There are many types of malware that impact the availability of the Internet, including network worms, bot-nets, viruses, etc. Detecting such attacks is a critical component of defending against them. This dissertation focuses on detecting and understanding self-propagating network worms, a type of malware with a proven record of disrupting the Internet. According to	en_US
dc.identifier.uri	https://hdl.handle.net/1794/12341
dc.language.iso	en_US	en_US
dc.publisher	University of Oregon	en_US
dc.rights	All Rights Reserved.	en_US
dc.subject	Intrusion detection	en_US
dc.subject	Malware	en_US
dc.subject	Networks	en_US
dc.subject	Worm	en_US
dc.title	Behavior-based Worm Detection	en_US
dc.type	Electronic Thesis or Dissertation	en_US

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