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An ensemble approach for unsupervised anomaly and cyber attack detection.

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Bibliographic Details
Title: An ensemble approach for unsupervised anomaly and cyber attack detection.
Authors: Liu, Haitian1, Jiang, Rong1, jiangrong@nudt.edu.cn, Zhou, Bin1
Source: Journal of Computer Security; Jul2025, Vol. 33 Issue 4, p215-238, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An ensemble approach for unsupervised anomaly and cyber attack detection.
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  Data: <searchLink fieldCode="AU" term="%22Liu%2C+Haitian%22">Liu, Haitian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Jiang%2C+Rong%22">Jiang, Rong</searchLink><relatesTo>1</relatesTo>, <i>jiangrong@nudt.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhou%2C+Bin%22">Zhou, Bin</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Security%22">Journal of Computer Security</searchLink>; Jul2025, Vol. 33 Issue 4, p215-238, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186210992
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      – Type: doi
        Value: 10.1177/0926227X251330216
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 215
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      – TitleFull: An ensemble approach for unsupervised anomaly and cyber attack detection.
        Type: main
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            NameFull: Liu, Haitian
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            NameFull: Jiang, Rong
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            NameFull: Zhou, Bin
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            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 33
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            – TitleFull: Journal of Computer Security
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