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Automatic Binary Execution Environment based on Real-machines for Intelligent Malware Analysis

Authors :
Sangyong Choi
Homook Cho
Yong-Min Kim
KwanSik Yoon
Source :
KIISE Transactions on Computing Practices. 22:139-144
Publication Year :
2016
Publisher :
Korean Institute of Information Scientists and Engineers, 2016.

Abstract

There exist many threats in cyber space, however current anti-virus software and other existing solutions do not effectively respond to malware that has become more complex and sophisticated. It was shown experimentally that it is possible for the proposed approach to provide an automatic execution environment for the detection of malicious behavior of active malware, comparing the virtual-machine environment with the real-machine environment based on user interaction. Moreover, the results show that it is possible to provide a dynamic analysis environment in order to analyze the intelligent malware effectively, through the comparison of malicious behavior activity in an automatic binary execution environment based on real-machines and the malicious behavior activity in a virtual-machine environment.

Details

ISSN :
23836318
Volume :
22
Database :
OpenAIRE
Journal :
KIISE Transactions on Computing Practices
Accession number :
edsair.doi...........60e1d9e843c0dedf1847860c9423a3e1
Full Text :
https://doi.org/10.5626/ktcp.2016.22.3.139