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A systematic review of metaheuristic based feature selection strategies for cyber-attack detection in the IIoT.

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Title: A systematic review of metaheuristic based feature selection strategies for cyber-attack detection in the IIoT.
Authors: Francis, Georg Thamer1, georgethamer1@gmail.com, Souri, Alireza2, alirezasouri@halic.edu.tr, Inanç, Nihat3, nihatinanc@halic.edu.tr
Source: Artificial Intelligence Review; Feb2026, Vol. 59 Issue 2, p1-39, 39p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191759114
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A systematic review of metaheuristic based feature selection strategies for cyber-attack detection in the IIoT.
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Feb2026, Vol. 59 Issue 2, p1-39, 39p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10462-025-11473-7
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      – Code: eng
        Text: English
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        PageCount: 39
        StartPage: 1
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      – TitleFull: A systematic review of metaheuristic based feature selection strategies for cyber-attack detection in the IIoT.
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            NameFull: Francis, Georg Thamer
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            NameFull: Souri, Alireza
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            NameFull: Inanç, Nihat
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              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 59
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