ConceptUML: Multiphase unsupervised threat detection via latent concept learning, Hidden Markov Models and topic modelling.

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Title: ConceptUML: Multiphase unsupervised threat detection via latent concept learning, Hidden Markov Models and topic modelling.
Authors: Luong, Khanh1, Mahboubi, Arash1, Jarrad, Geoff2, Camtepe, Seyit2, Bewong, Michael1, Bahutair, Mohammed2, Aboutorab, Hamed3, Bui, Hang Thanh3
Source: Journal of Information Security & Applications; Sep2025, Vol. 93, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187818076
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Information+Security+%26+Applications%22">Journal of Information Security & Applications</searchLink>; Sep2025, Vol. 93, pN.PAG-N.PAG, 1p
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.jisa.2025.104160
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: ConceptUML: Multiphase unsupervised threat detection via latent concept learning, Hidden Markov Models and topic modelling.
        Type: main
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            NameFull: Luong, Khanh
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            NameFull: Mahboubi, Arash
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            NameFull: Jarrad, Geoff
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            NameFull: Camtepe, Seyit
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            NameFull: Bewong, Michael
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            NameFull: Bahutair, Mohammed
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            NameFull: Aboutorab, Hamed
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            NameFull: Bui, Hang Thanh
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          Dates:
            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 93
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            – TitleFull: Journal of Information Security & Applications
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