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Analyzing network flows by applying fuzzy logic to detect denial of service attack (DOS)

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Main Author: Tabatabaei, Seyedeh Farzaneh,
Format: Thesis
Published: 2010
Subjects:
QA76 Computer software
Online Access:http://eprints.utm.my/id/eprint/48118/
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id my.utm.48118
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spelling my.utm.481182015-10-15T01:09:47Z http://eprints.utm.my/id/eprint/48118/ Analyzing network flows by applying fuzzy logic to detect denial of service attack (DOS) Tabatabaei, Seyedeh Farzaneh, QA76 Computer software 2010 Thesis NonPeerReviewed Tabatabaei, Seyedeh Farzaneh, (2010) Analyzing network flows by applying fuzzy logic to detect denial of service attack (DOS). Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA76 Computer software
spellingShingle QA76 Computer software
Tabatabaei, Seyedeh Farzaneh,
Analyzing network flows by applying fuzzy logic to detect denial of service attack (DOS)
format Thesis
author Tabatabaei, Seyedeh Farzaneh,
author_facet Tabatabaei, Seyedeh Farzaneh,
author_sort Tabatabaei, Seyedeh Farzaneh,
title Analyzing network flows by applying fuzzy logic to detect denial of service attack (DOS)
title_short Analyzing network flows by applying fuzzy logic to detect denial of service attack (DOS)
title_full Analyzing network flows by applying fuzzy logic to detect denial of service attack (DOS)
title_fullStr Analyzing network flows by applying fuzzy logic to detect denial of service attack (DOS)
title_full_unstemmed Analyzing network flows by applying fuzzy logic to detect denial of service attack (DOS)
title_sort analyzing network flows by applying fuzzy logic to detect denial of service attack (dos)
publishDate 2010
url http://eprints.utm.my/id/eprint/48118/
_version_ 1643652465507172352
score 13.149126

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