Malware behavioral analysis system: TWMAN

21Citations
Citations of this article
46Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Malware is an important topic of security threat research. In this paper, a behavioral malware analysis system TWMAN was presented. This study focuses on using real operation system (OS) environment to analysis malware behavioral. Many researchers try to use virtual machine (VM) system to monitor the malware behaviors. These malware samples will only compromise the virtual operating system or virtual machine, which cannot reflect in the real operating system or real environment. Therefore, some malware researchers don't want their systems to be analyzed in VM environment, because the analyzer cannot much useful information in VM environment. There are many Anti-VM techniques which are used to ward off the collection, analysis, and reverse engineering features of the VM based malware analysis platform. There are differences between these two behaviors: malware behavior in real environment and in virtual environment. Therefore, malware researcher would get inaccurate analysis results from VM based malware analysis platform. In order to retrieve correct malware behavioral information, we need flexible, adaptable, and quickly analysis environment, which could discovery malware behavioral in real operation system environment, and which can quickly restore clear operation system to analysis another malware sample. For this reason, this study developed Taiwan Malware Analysis Net(TWMAN), a real operation system environment for malware behavioral analysis and analysis report. We believe this system would be helpful to improve the correctness of malware analysis result and reduce the loss rate of malware analysis. © 2011 IEEE.

Cite

CITATION STYLE

APA

Huang, H. D., Lee, C. S., Kao, H. Y., Tsai, Y. L., & Chang, J. G. (2011). Malware behavioral analysis system: TWMAN. In IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IA 2011: 2011 IEEE Symposium on Intelligent Agents (pp. 1–8). https://doi.org/10.1109/IA.2011.5953604

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free