In his paper “Malware Detection Using Machine Learning” Dragos Gavrilut aimed for developing a detection system based on several modified perceptron algorithms. For different algorithms, he achieved ...

This project presents a comparative analysis of various machine learning (ML) and deep learning (DL) models to detect Android malware using static features extracted from APK files. The objective is ...

This research investigates the efficacy of various machine learning algorithms in detecting malware. Utilizing a dataset of 20,000 observations with 33 features,28 classification algorithms are ...

Malware continues to be the largest issue that Internet users confront in the modern world. Polymorphism is one of this kind of malware's characteristics. Malware that continuously alters its ...

Microsoft's investment in machine learning. The research is part of Microsoft's recent efforts of improving malware detection using machine learning techniques.