Our Publications

Discover our latest research contributions, peer-reviewed publications, and academic achievements that advance the frontiers of knowledge.

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Our latest research contributions across various domains

Featured Publication

Conference Article 2024 High Impact

Reconnaissance Detection in Decentralised IoT System using Model-Contrastive Federated Learning

R. K. Dutta, B. Chhetry, R. Matam and F. A. Barbhuiya

2024 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

This paper introduces ReconGuard, a scalable and privacy-preserving intrusion detection system for IoT environments that leverages Model Contrastive Federated Learning (MCFL) to collaboratively detect reconnaissance attacks without sharing raw data.

Journal Article 2024 High Impact

Improving Reconnaissance Detection in IoT Environments Using Machine Learning with Heterogeneous Data Integration

B. Chhetry, R. K. Dutta, R. Matam and F. A. Barbhuiya

2024 IEEE Future Networks World Forum (FNWF), Dubai, United Arab Emirates

This paper proposes a machine learning-based approach for detecting reconnaissance attacks in IoT environments by integrating diverse datasets (CICIoT2023 and CICIoMT2024) to improve accuracy, scalability, and real-time threat detection.

Conference Article 2025 High Impact

FLAME-X

S. K. Ghimire, R. Matam and F. A. Barbhuiya

2025 IEEE Guwahati Subsection Conference(GCON), NERIST,Nirjuli, Arunachal Pradesh, India, 2025

Federated Learning with Adaptive Model Ensembles and Explainable AI for Real-Time DDoS Detection in IoT Networks

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