IEEE

Penetration Testing and Machine Learning-Driven Cybersecurity Framework for IoT and Smart City Wireless Networks

Abstract: The Internet of Things (IoT) technology development speed, along with its integration into smart city infrastructure, requires strong cybersecurity solutions to protect important systems.
IEEE

Enhanced Predictive Modeling for Anomaly Detection in Financial Transactions Using Machine Learning

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
GitHub

STRIDE Threat Analysis Framework with MITRE ATT&CK Integration

This project is a Python-based, end-to-end STRIDE threat modeling and analysis framework with MITRE ATT&CK mapping. It enables you to: ...