Projects
Current Research Projects
- Deep Learning-Based Malware Detection Using SOMLAP and UGRansom Datasets with Explainable AI
- Efficient Phishing Website Detection Using LLMs Enhanced with RAG and QLoRA
FL based Intrusion Detection System
- Technologies/Tools: Python, Tensorflow, Keras, Flower
- Github URL: Project
- Implemented a Federated Learning-based Intrusion Detection System using Flower and TensorFlow applying FedAvg aggregation.
Phishing Email Detection Using llama
- Technologies/Tools: Python, Scikit-Learn, llama
- Github URL: Project
- Implemented a phishing email detection system leveraging the LLaMA large language model with prompt-based approaches including zero-shot, few-shot, and chain-of-thought (CoT) reasoning. The dataset included head, body, and head+body email segments, with both labelled and unlabelled data
Phishing Website Detection
- Technologies/Tools: Python, Scikit-Learn, Keras
- Github URL: Project
- Developed a machine learning system to detect phishing websites by extracting relevant URL and host-based features. Multiple models were trained and compared to identify the most effective approach using accuracy, precision, recall, and F1-score.
Heart Disease Prediction System
- Technologies/Tools: SKLearn, Pandas, Numpy, Keras
- Github URL: Project
- Developed a data-driven heart disease prediction model comparing multiple Machine Learning algorithms to accurately classify patients based on clinical parameters.