Automated signature generation for Zero-day polymorphic worms using a Double-honeynet

This thesis proposes an accurate system for signature generation for Zero-day polymorphic worms. Thesis consists of two parts: In part one, polymorphic worm instances are collected by designing a novel Double-honeynet system, which is able to detect new worms that have not been seen before. Unlimited honeynet outbound connections are introduced to collect all polymorphic worm instances. Therefore this system produces accurate worm signatures. In part two, signatures are generated for the polymorphic worms that are collected by the Double-honeynet system. Both a Modified Knuth-Morris-Pratt (MKMP) Algorithm, which is string matching based, and a Modified Principal Component Analysis (MPCA), which is statistics based, are used.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2012

Author dc:creator

• Mohammed, Mohssen M Z E

Advisor dc:contributor.advisor

• Chan, H Anthony

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/11233

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/11233