"MalwareLens team on IBM Bob 2.0 hackathon Hackathon"

Team Idea

MalwareLens is a solo builder project focused on making Android malware classification more transparent and interpretable. The project combines machine learning, behavioral analysis, and explainable AI to build practical cybersecurity tools that help users understand not only what a model predicts, but also which behavioral signals influenced that prediction.

Team Members

Taqi Ul Hassan

taqi_ul_hassan112

Machine Learning Engineer

Submission

MalwareLens: Explainable Android Malware Detection

MalwareLens classifies Android apps into five CICMalDroid 2020 categories using 470 behavioral features, then uses SHAP to explain which behaviors influenced each prediction.