Adaptive anomaly detection for identifying attacks in cyber-physical systems: A systematic literature review.

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Title: Adaptive anomaly detection for identifying attacks in cyber-physical systems: A systematic literature review.
Authors: Moriano, Pablo1, moriano@ornl.gov, Hespeler, Steven C.1, hespelersc@ornl.gov, Li, Mingyan2, lim3@ornl.gov, Mahbub, Maria2, mahbubm@ornl.gov
Source: Artificial Intelligence Review; Sep2025, Vol. 58 Issue 9, p1-46, 46p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 186126150
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  Data: Adaptive anomaly detection for identifying attacks in cyber-physical systems: A systematic literature review.
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  Data: <searchLink fieldCode="AU" term="%22Moriano%2C+Pablo%22">Moriano, Pablo</searchLink><relatesTo>1</relatesTo>, <i>moriano@ornl.gov</i><br /><searchLink fieldCode="AU" term="%22Hespeler%2C+Steven+C%2E%22">Hespeler, Steven C.</searchLink><relatesTo>1</relatesTo>, <i>hespelersc@ornl.gov</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Mingyan%22">Li, Mingyan</searchLink><relatesTo>2</relatesTo>, <i>lim3@ornl.gov</i><br /><searchLink fieldCode="AU" term="%22Mahbub%2C+Maria%22">Mahbub, Maria</searchLink><relatesTo>2</relatesTo>, <i>mahbubm@ornl.gov</i>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Sep2025, Vol. 58 Issue 9, p1-46, 46p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186126150
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        Value: 10.1007/s10462-025-11292-w
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      – Code: eng
        Text: English
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              Text: Sep2025
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              Y: 2025
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