The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

The struggle between security analysts and malware developers is a never-ending battle with the complexity of malware changing as quickly as innovation grows. Current state-of-the-art research focus on the development and application of machine learning techniques for malware detection due to its ability to keep pace with malware evolution. This survey aims at providing a systematic and detailed overview of machine learning techniques for malware detection and in particular, deep learning techniques. The main contributions of the paper are: (1) it provides a complete description of the methods and features in a traditional machine learning workflow for malware detection and classification, (2) it explores the…

• MD
  Ministerio de Ciencia e Innovación

  Awards: ENE2015-64117-C5-1-R, TIN2015-71799-C2-2-P
• UD
  Universitat de Lleida