Accession Number : AD1033052


Title :   Improvement of Binary Analysis Components in Automated Malware Analysis Framework


Descriptive Note : Technical Report,26 May 2015,25 Nov 2016


Corporate Author : Keio University Fujisawa Japan


Personal Author(s) : Takeda, Keiji


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1033052.pdf


Report Date : 21 Feb 2017


Pagination or Media Count : 4


Abstract : 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.


Descriptors :   malware , computer security , computer programs , detection , automation , monitoring , virtual machines


Subject Categories : Computer Systems Management and Standards


Distribution Statement : APPROVED FOR PUBLIC RELEASE