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A hybrid transformer-LSTM framework with metaheuristic-driven feature selection and data balancing for detecting XSS attacks.

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Title: A hybrid transformer-LSTM framework with metaheuristic-driven feature selection and data balancing for detecting XSS attacks.
Authors: Arasteh, Bahman1,2, bahman.arasteh@istinye.edu.tr, Bouyer, Asgarali1, Kusetogullari, Huseyin3,4, Ince, Ibrahim Furkan5
Source: Computer Standards & Interfaces; Aug2026, Vol. 98, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194124361
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.csi.2026.104164
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      – Code: eng
        Text: English
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        PageCount: 1
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      – TitleFull: A hybrid transformer-LSTM framework with metaheuristic-driven feature selection and data balancing for detecting XSS attacks.
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            NameFull: Arasteh, Bahman
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            NameFull: Bouyer, Asgarali
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            NameFull: Kusetogullari, Huseyin
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              Text: Aug2026
              Type: published
              Y: 2026
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              Value: 98
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