Flow timeout matters: Investigating the impact of active and idle timeouts on the performance of machine learning models in detecting security threats.

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Title: Flow timeout matters: Investigating the impact of active and idle timeouts on the performance of machine learning models in detecting security threats.
Authors: Janati Idrissi, Meryem1, Meryem.Janati@um6p.ma, Alami, Hamza2, hamza.alami@um6p.ma, El Mahdaouy, Abdelkader1, abdelkader.mahdaouy@um6p.ma, Bouayad, Abdelhak1, abdelhak.bouayad@um6p.ma, Yartaoui, Zakaria3,4, zakaria.yartaoui@um6p.ma, Berrada, Ismail1, ismail.berrada@um6p.ma
Source: Future Generation Computer Systems; May2025, Vol. 166, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 183212593
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Flow timeout matters: Investigating the impact of active and idle timeouts on the performance of machine learning models in detecting security threats.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=183212593
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.future.2024.107641
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Flow timeout matters: Investigating the impact of active and idle timeouts on the performance of machine learning models in detecting security threats.
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          Name:
            NameFull: Janati Idrissi, Meryem
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            NameFull: Alami, Hamza
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            NameFull: El Mahdaouy, Abdelkader
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            NameFull: Bouayad, Abdelhak
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            NameFull: Yartaoui, Zakaria
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            NameFull: Berrada, Ismail
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 0167739X
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              Value: 166
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            – TitleFull: Future Generation Computer Systems
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