Malware detection using machine learning based on word2vec embeddings of machine code instructions

Abstract

Applying machine learning for automatic malware detection is a perspective field of scientific research. One of popular methods in static analysis of executable files is observing machine code instructions that they contain. This paper proposes applying word2vec technique for extracting vector embeddings of machine code instructions and evaluates convolutional neural network-based classifier that uses extracted vectors for malware detection.