Automated PE32 Threat Classification using Import Table and Deep Neural Networks

A malware is a computer program which harms the computer in which it gets executed. Malware analysis plays a major role in analysing the functionalities and behaviour of the malware. Malware analysis is a slow and tedious process which involves a lot of manual work. Finding the type of the malware will often boost up the analysis process and helps to the researcher to know what the binary executable is capable of. Usually researchers perform various static analysis techniques to find the category of the malware using various tools like strings, dependency walker etc., Classifying them manually is a non-feasible solution. So, in this paper, we are proposing an automated approach for malware classification using deep neural networks.