Development of Automated Malware Analysis Framework

The research project was conducted from June 2014 to June 2015 by the malicious software malware research team in Keio University. The out come of the research includes development of a new method for identification of malware, a new method to monitor behavior of malware binary program and platform to analyze malware using both static analysis approach and dynamic analysis approach. The goal of the project was to develop automated system to analyze malware with minimum human interaction. The developed technologies through this research project are applied to the platform developed and provided semi-automated functionality. Proposed methods are verified their performance against actual malware on the developed platform. Two research papers were published in academic conferences.