Qazi Mazhar Ul Haq

A Compact CNN–BiLSTM Model for Fake News Detection: Post Hoc Explanations and Cross-Dataset Evaluation

The results support the CNN–BiLSTM as a compact and competitive text-based alternative while highlighting the importance of controlled baselines, overlap analysis, cautious interpretation of post hoc explanations, and strict external evaluation.

AI-Driven Forensics Framework for Reliable Detection of Ransomware

The proposed model reformulates WannaCry recognition as a binary classification task and delivers better results than the classical algorithms including Random Forest, SVM, and XGBoost among other deep learning baselines.

Task Offloading in SDN-Fog Architecture Utilizing Hybrid Deep Learning Models for Internet of Medical Things

Deep Learning-Based Forensic Detection of Suspicious Activities in CCTV Systems

A deep learning-based forensic framework for real-time detection of suspicious human activity in CCTV videos, trained without relying on any external sensors is proposed, and incorporates anonymization of personal identities and local edge-based processing to prevent raw data exposure.