Development of Automated Malware Analysis Framework
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 13, 2015
- Accession Number
- ADA637212
Entities
People
- Keiji Takeda
Organizations
- Keio University