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SSLA: a semi-supervised framework for real-time injection detection and anomaly monitoring in cloud-based web applications with real-world implementation and evaluation.

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Title: SSLA: a semi-supervised framework for real-time injection detection and anomaly monitoring in cloud-based web applications with real-world implementation and evaluation.
Authors: Sefati, Seyed Salar1,2,3, Sefati.seyedsalar@upb.ro, Arasteh, Bahman3,4,5, Fratu, Octavian1,2,6, Halunga, Simona1,2,6
Source: Journal of Cloud Computing (2192-113X); 7/16/2025, Vol. 14 Issue 1, p1-28, 28p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186678125
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Cloud+Computing+%282192-113X%29%22">Journal of Cloud Computing (2192-113X)</searchLink>; 7/16/2025, Vol. 14 Issue 1, p1-28, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186678125
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s13677-025-00765-6
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      – Code: eng
        Text: English
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        PageCount: 28
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      – TitleFull: SSLA: a semi-supervised framework for real-time injection detection and anomaly monitoring in cloud-based web applications with real-world implementation and evaluation.
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            NameFull: Sefati, Seyed Salar
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            NameFull: Arasteh, Bahman
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            NameFull: Fratu, Octavian
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            – D: 16
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              Text: 7/16/2025
              Type: published
              Y: 2025
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              Value: 14
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