Arpita Nusrat

Ahsanullah University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Arpita Nusrat is a rising researcher at the forefront of cybersecurity and intelligent systems, with a focused expertise in applying machine learning to safeguard critical network infrastructures. Her most impactful work, "Machine Learning Techniques for Detecting Anomalies in IoT Networks" (2023), has already garnered 6 citations, establishing her as a promising voice in the field. This paper, published in the peer-reviewed IJCERT, addresses the pressing challenge of securing the rapidly expanding Internet of Things ecosystem. By systematically evaluating various ML models for anomaly detection, Dr. Nusrat provides a foundational framework for identifying malicious activities and system failures in real-time, a contribution vital for smart cities, healthcare, and industrial automation. Her research bridges the gap between theoretical machine learning algorithms and practical, deployable security solutions. As a scholar dedicated to open-access dissemination, her work is accessible to a global community of practitioners and academics. Dr. Nusrat’s early-career impact signals a trajectory toward becoming a key contributor in the fight against evolving cyber threats in our increasingly connected world.