Virtualization Detection Based on Data Fusion

摘要：

Characteristic analysis and timing analysis are two methods for virtualization detection. However,the accuracy of characteristic analysis is low and the timing analysis is not efficient. Moreover,current methods based on timing analysis make use of the privileged instructions separately without data fusion and the accuracy of timing analysis can be improved further. In this paper,we introduce a new method in timing analysis based on data fusion to improve the accuracy of virtualization detection. Our method combines characteristic analysis and timing analysis,which makes virtualization detection more efficient. A virtualization detection tool is implemented and several experiments are made. The results show that our method is both effective and efficient.

关键词： virtualization detection characteristic analysis timing analysis data fusion

作者: Wang Jiabin Lian Yifeng Chen Kai

作者单位: State Key Laboratory of Information Security,Institute of Software,Chinese Academy of Sciences,Beiji State Key Laboratory of Information Security,Institute of Software,Chinese Academy of Sciences,Beiji

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2600-2603

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）