Research interests rooted in machine learning, accessibility, and engineering systems.

This work introduces CyberBiLSTM, a deep learning model trained on a newly aggregated and diverse dataset of over 244,112 SQL injection queries. The model achieved a test accuracy of 98.43% and a precision of 99.79%, outperforming five benchmark classifiers. In particul...

The current study relied on a curated subset of 24 classes with high image counts, which may limit the model’s immediate applicability to rarer botanical pathologies or imbalanced field data. Furthermore, while the model excels in controlled datasets, practical deployme...

Phishing through malicious URLs remains a widespread and evolving cyber threat, with traditional defenses like blacklists increasingly falling short against modern attacker tactics. To address this, a new study titled Adaptive Deep Sequential Networks Empowered by Multi...