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

Includes bibliographical references.

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Bibliographic Details
Main Author: Mohammed, Mohssen M Z E
Other Authors: Chan, H Anthony
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2015
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access_status_str Open Access
author Mohammed, Mohssen M Z E
author2 Chan, H Anthony
author_browse Chan, H Anthony
Mohammed, Mohssen M Z E
author_facet Chan, H Anthony
Mohammed, Mohssen M Z E
author_sort Mohammed, Mohssen M Z E
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/11233
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:48:07.027Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/11233 Automated signature generation for Zero-day polymorphic worms using a Double-honeynet Mohammed, Mohssen M Z E Chan, H Anthony Electrical Engineering Includes bibliographical references. 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. 2015-01-04T14:20:13Z 2015-01-04T14:20:13Z 2012 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/11233 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Mohammed, Mohssen M Z E
Automated signature generation for Zero-day polymorphic worms using a Double-honeynet
thesis_degree_str Doctoral
title Automated signature generation for Zero-day polymorphic worms using a Double-honeynet
title_full Automated signature generation for Zero-day polymorphic worms using a Double-honeynet
title_fullStr Automated signature generation for Zero-day polymorphic worms using a Double-honeynet
title_full_unstemmed Automated signature generation for Zero-day polymorphic worms using a Double-honeynet
title_short Automated signature generation for Zero-day polymorphic worms using a Double-honeynet
title_sort automated signature generation for zero day polymorphic worms using a double honeynet
topic Electrical Engineering
url http://hdl.handle.net/11427/11233
work_keys_str_mv AT mohammedmohssenmze automatedsignaturegenerationforzerodaypolymorphicwormsusingadoublehoneynet