Improvement of Binary Analysis Components in Automated Malware Analysis Framework
Technical Report,26 May 2015,25 Nov 2016
Keio University Fujisawa Japan
Pagination or Media Count:
This research was conducted to develop components for automated system to analyze malicious software malware with minimum human interaction. The system autonomously analyze malware samples by analyzing malware binary program and by monitoring their behavior, then generate data for malware detection signature and for developing their counter measure.
- Computer Systems Management and Standards