Ifesinachi Stephen Aroh

AI-Driven Observability for Managing Security Complexity in Cloud-native Microservices and Containerized Environments

Akinde Michael Ogunmolu, Ifesinachi Stephen Aroh, Onyii Henry, Pelumi Damola Adeyinka & Abayomi Titilola Olutimehin · Journal of Engineering Research and Reports · 2026

This study investigates security-visibility challenges in cloud-native microservices by analysing adversarial behaviours using the MITRE ATT&CK container-techniques dataset, assessing observability limitations through time-series telemetry-coverage quantification applied to t...

Open access Research Article 10.9734/jerr/2026/v28i21786

Graph Neural Networks for Multi-Layered Financial Crime Network Detection: An Explainable AI Framework for Anti-Money Laundering

Oluwadayo Mafolasere Olaniyi, Ifesinachi Stephen Aroh, Onyii Henry, Olufunke Cynthia Metibemu & Oluwaseun Ibrahim Akinola · Journal of Engineering Research and Reports · 2026

Detecting multi-layered financial crime networks remains a major challenge in anti-money laundering (AML) due to high false positives, evolving adversarial behaviors, limited relational modeling, and stringent regulatory requirements for transparency and auditability. This study...

Open access Research Article 10.9734/jerr/2026/v28i21787