| Title: | virtualization detection based on data fusion |
| Author: | Wang Jia-Bin
; Lian Yi-Feng
; Chen Kai
|
| Source: | Proceedings - 2012 International Conference on Computer Science and Information Processing, CSIP 2012
|
| Conference Name: | 2012 International Conference on Computer Science and Information Processing, CSIP 2012
|
| Conference Date: | August 24, 2012 - August 26, 2012
|
| Issued Date: | 2012
|
| Conference Place: | Xi'an, Shaanxi, China
|
| Keyword: | Computer science
; Data fusion
|
| Indexed Type: | EI
|
| ISBN: | 9781467314114
|
| Department: | (1) State Key Laboratory of Information Security Institute of Software Chinese Academy of Sciences Beijing China
|
| Sponsorship: | Xi'an Technological University; IEEE Xi'an Section; Missouri Western State University; Natl. New Netw. Monit. Control Eng. Lab.
|
| Abstract: | 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. |
| English Abstract: | 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. |
| Language: | 英语
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| Content Type: | 会议论文
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| URI: | http://ir.iscas.ac.cn/handle/311060/15839
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| Appears in Collections: | 软件所图书馆_会议论文
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| Recommended Citation: | |
Wang Jia-Bin,Lian Yi-Feng,Chen Kai. virtualization detection based on data fusion[C]. 见:2012 International Conference on Computer Science and Information Processing, CSIP 2012. Xi'an, Shaanxi, China. August 24, 2012 - August 26, 2012.
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