Machine learning based Android malware classification

As growing Android smart-phones, malware threatens smart-phones is also increasing. There are many types of Android malwares. To detect these Android malwares effectively, first, we need to classify Android malwares. In this paper, we build a database storing Android malwares and their types and characteristics. With the database, we propose a machine learning model to classify the malwares. To evaluate the model, we conducted k-fold cross validation. Through the evaluation, our model showed over 85% accuracy in the malware classification.