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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

Crossref DOI link: https://doi.org/10.1186/s13677-025-00765-6

Published Online: 2025-07-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Sefati, Seyed Salar

Arasteh, Bahman

Fratu, Octavian

Halunga, Simona
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Text and Data Mining valid from 2025-07-16

Version of Record valid from 2025-07-16
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Article History

Received: 10 February 2025

Accepted: 11 June 2025

First Online: 16 July 2025

Declarations

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: Not applicable.

: All authors confirm that neither the article nor any parts of its content are currently under consideration or published in another journal. The authors agree to publication in the journal.

: The authors declare no competing interests.

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