virtualization detection based on data fusion

ISCAS OpenIR

	virtualization detection based on data fusion
	Wang Jia-Bin; Lian Yi-Feng; Chen Kai
	2012
会议名称	2012 International Conference on Computer Science and Information Processing, CSIP 2012
会议录名称	Proceedings - 2012 International Conference on Computer Science and Information Processing, CSIP 2012
页码	393-396
会议日期	August 24, 2012 - August 26, 2012
会议地点	Xi'an, Shaanxi, China
收录类别	EI
ISBN	9781467314114
部门归属	(1) State Key Laboratory of Information Security Institute of Software Chinese Academy of Sciences Beijing China
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. © 2012 IEEE.; 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. © 2012 IEEE.
关键词	Computer Science Data Fusion
主办者	Xi'an Technological University; IEEE Xi'an Section; Missouri Western State University; Natl. New Netw. Monit. Control Eng. Lab.
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15839
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Wang Jia-Bin,Lian Yi-Feng,Chen Kai. virtualization detection based on data fusion[C],2012:393-396.