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Author

Ridwan Kolapo

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Review Open access Sep 2026

Machine Learning Techniques for Intrusion Detection Systems in 5G and Beyond Networks: A Systematic Literature Review

The paper concludes that no single model is universally best; rather, technique selection should depend on the type of attack, the quality of validation, the amount of latency, the scalability, privacy, and explainability, to determine the most appropriate approach.

Elijah Abayomi Olaniyi, T. Atoyebi, Ridwan Kolapo et al. · 0 citations
Review Open access Sep 2026

DEVSECOPS: A Systematic Literature Review on Security Integration in Development and Operations

This paper is a systematic literature review to examine the integration of security in the DevOps procedures, the demands for successful DevSecOps implementations, and the hurdles that institutions face when implementing it.

Oluwatobi Kuye, Ridwan Kolapo, T. Atoyebi et al. · 0 citations
Review Open access Sep 2026

Machine Learning-Based Enterprise Security Information and Event Management Systems: A Systematic Literature Review

No one specific machine learning technique is appropriate for each SIEM task, and the success of an enterprise deployment is based on implementing the appropriate techniques depending on the security function, data quality, label availability, explanation requirements, and analyst workflow.

Joshua Ahuose Omoighe, T. Atoyebi, Ridwan Kolapo et al. · 0 citations
Review Open access 2026

A Systematic Literature Review on Supervised Machine Learning Techniques for Financial Fraud Detection

The findings indicated that financial fraud detection relied more on supervised learning which was the method of choice, especially in cases where labelled data of fraudulent and legitimate transactions were known.

Blessing Bologi, Ridwan Kolapo, T. Atoyebi · 0 citations

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