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Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods.

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Title: Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods.
Authors: Yu, Bowen1, Zhang, Wanting1, Liu, Yishen2, Ahmad, Awais3, Obidallah, Waeal J.3, A., Yousef3, Ullah, Farhan4, Yoshigoe, Kenji5, Zhao, Yue1, yuezhao@kean.edu
Source: PeerJ Computer Science; May2026, p1-59, 59p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194612941
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194612941
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        Value: 10.7717/peerj-cs.3902
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      – Code: eng
        Text: English
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        PageCount: 59
        StartPage: 1
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      – TitleFull: Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods.
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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