My research contributions in cybersecurity, IoT security, machine learning applications and ACADEMIA.
University of Engineer and Technology Journal, 2025
This research proposes a novel machine learning-based approach for lightweight IoT device profiling to enhance security in connected environments. The framework effectively identifies anomalous behavior and potential security threats in IoT ecosystems.
ACADEMIA International Journal for Social Sciences (AIJSS), 2025
In order to bridge the gap between academics and industry, this study paper delves into the crucial function of experiential learning. It gives some background and then dives into how experiential learning helps students build skills and critical thinking in preparation for the job by focusing on practical applications and hands-on experiences.
In process, 2025
This paper presents an AI-driven threat intelligence system that leverages machine learning algorithms to predict and prevent network security breaches. The system demonstrates superior performance in early threat detection compared to traditional methods.
