MAHE Dubai is proud to share that Dr. Balamurugan Balusamy has co-authored a research paper published in a Web of Science (WoS) and Scopus-indexed Q1 journal, Elsevier Computers and Electrical Engineering (Impact Factor: 4.9). The work was developed in collaboration with academicians from Italy and India, reflecting strong international research partnerships.
The paper is titled:
“A multi-stage framework for scalable and context-aware intrusion detection in IoT-cloud systems using deep latent modeling and graph-based attack classification.”
The research addresses a critical and rapidly growing challenge - securing IoT-cloud environments. By combining deep latent modeling with graph-based attack classification, the proposed framework strengthens how intrusion detection systems can scale while remaining context-aware, supporting more robust cybersecurity readiness for connected environments.
Access the paper here:
https://doi.org/10.1016/j.compeleceng.2026.110949
MAHE Dubai congratulates Dr. Balamurugan Balusamy on this achievement and his valuable contributions to high-impact research in emerging technology and cybersecurity.
