Fuzzy logic-based DDoS attacks and network traffic anomaly detection methods: Classification, overview, and future perspectives.

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Title: Fuzzy logic-based DDoS attacks and network traffic anomaly detection methods: Classification, overview, and future perspectives.
Authors: Javaheri, Danial1, javaheri@chosun.ac.kr, Gorgin, Saeid1, gorgin@chosun.ac.kr, Lee, Jeong-A1, jalee@chosun.ac.kr, Masdari, Mohammad1,2, m.masdari@iaurmia.ac.ir
Source: Information Sciences; May2023, Vol. 626, p315-338, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 162503790
AccessLevel: 2
PubType: Periodical
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PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=162503790
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.ins.2023.01.067
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 24
        StartPage: 315
    Titles:
      – TitleFull: Fuzzy logic-based DDoS attacks and network traffic anomaly detection methods: Classification, overview, and future perspectives.
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            NameFull: Javaheri, Danial
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            NameFull: Gorgin, Saeid
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            NameFull: Lee, Jeong-A
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            – D: 15
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              Text: May2023
              Type: published
              Y: 2023
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              Value: 00200255
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              Value: 626
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            – TitleFull: Information Sciences
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