Expression of Concern: SDN-Cloud Incident Detection & Response with Segmented Federated Learning for the IoT

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Abstract

EXPRESSION OF CONCERN FOR: Anas Harchi, Hicham Toumi, Mohamed Talea. (2025). SDN-Cloud Incident Detection & Response with Segmented Federated Learning for the IoT, 5(1), 671-684.



https://doi.org/10.58496/MJCS/2025/040


https://journals.mesopotamian.press/index.php/CyberSecurity/article/view/855



Reason for Expression of Concern:
The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “SDN-Cloud Incident Detection & Response with Segmented Federated Learning for the IoT”. The journal has initiated an additional editorial assessment of the article’s methodology, data provenance, and reported outcomes to confirm their reliability and reproducibility.
This notice is issued to ensure transparency while the review is ongoing. The Expression of Concern does not constitute a final determination regarding the validity of the work. The journal will update readers once the assessment is completed and will take any necessary editorial action in accordance with the journal’s policies and COPE guidance.

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How to Cite

Expression of Concern: SDN-Cloud Incident Detection & Response with Segmented Federated Learning for the IoT. (2026). Mesopotamian Journal of CyberSecurity, 2026(1), 11-11. https://doi.org/10.58496/2026/011

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