Malware Detection System

In this project, we implemented CNN based malware classifier which takes files from the system as input and classify them as malicious or benign. For the dataset, we took it from kaggle and on top of it, we made use of data augmentation to generate more sample instances of data. This project, we created classifier architecture and trained it on this dataset. Also, We used hyper-parameter tuning to achieve more accurate end results. The project can be found at https://gitlab.com/sign_lang_recg/malware-detection-app