Behavior-based Worm Detection
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Date
2012
Authors
Stafford, John
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oregon
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
Description
Keywords
Intrusion detection, Malware, Networks, Worm