Assessing the strength of machine learning and deep learning models for network anomaly detection: insights from multi-dataset cybersecurity analysis
Crossref DOI link: https://doi.org/10.1007/s11227-026-08556-9
Published Online: 2026-05-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Panahi, Uras
Funding for this research was provided by:
Mudanya University
Text and Data Mining valid from 2026-05-06
Version of Record valid from 2026-05-06
Article History
Received: 27 August 2025
Accepted: 24 April 2026
First Online: 6 May 2026
Declarations
:
: The authors declare no competing interests.