Hybrid fuzzy techniques for unsupervised intrusion detection system /

Thesis (Ph.D (Sains Komputer)) - Universiti Teknologi Malaysia, 2008

Bibliographic Details
Main Authors: 337974 Witcha Chimphlee, Abdul Hanan Abdullah, Fakulti Sains Komputer dan Sistem Maklumat
Format:
Published: 2008
Subjects:
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author 337974 Witcha Chimphlee
Abdul Hanan Abdullah
Fakulti Sains Komputer dan Sistem Maklumat
author_facet 337974 Witcha Chimphlee
Abdul Hanan Abdullah
Fakulti Sains Komputer dan Sistem Maklumat
author_sort 337974 Witcha Chimphlee
collection OCEAN
description Thesis (Ph.D (Sains Komputer)) - Universiti Teknologi Malaysia, 2008
first_indexed 2024-03-04T21:35:44Z
format
id KOHA-OAI-TEST:182249
institution Universiti Teknologi Malaysia - OCEAN
last_indexed 2024-03-04T21:35:44Z
publishDate 2008
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spelling KOHA-OAI-TEST:1822492020-12-19T17:05:03ZHybrid fuzzy techniques for unsupervised intrusion detection system / 337974 Witcha Chimphlee Abdul Hanan Abdullah Fakulti Sains Komputer dan Sistem Maklumat 2008Thesis (Ph.D (Sains Komputer)) - Universiti Teknologi Malaysia, 2008SPSLComputer networks
spellingShingle Computer networks
337974 Witcha Chimphlee
Abdul Hanan Abdullah
Fakulti Sains Komputer dan Sistem Maklumat
Hybrid fuzzy techniques for unsupervised intrusion detection system /
title Hybrid fuzzy techniques for unsupervised intrusion detection system /
title_full Hybrid fuzzy techniques for unsupervised intrusion detection system /
title_fullStr Hybrid fuzzy techniques for unsupervised intrusion detection system /
title_full_unstemmed Hybrid fuzzy techniques for unsupervised intrusion detection system /
title_short Hybrid fuzzy techniques for unsupervised intrusion detection system /
title_sort hybrid fuzzy techniques for unsupervised intrusion detection system
topic Computer networks
work_keys_str_mv AT 337974witchachimphlee hybridfuzzytechniquesforunsupervisedintrusiondetectionsystem
AT abdulhananabdullah hybridfuzzytechniquesforunsupervisedintrusiondetectionsystem
AT fakultisainskomputerdansistemmaklumat hybridfuzzytechniquesforunsupervisedintrusiondetectionsystem