中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 会议论文
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
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15839
Appears in Collections:软件所图书馆_会议论文

Files in This Item:

There are no files associated with this item.


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.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Wang Jia-Bin]'s Articles
[Lian Yi-Feng]'s Articles
[Chen Kai]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Wang Jia-Bin]‘s Articles
[Lian Yi-Feng]‘s Articles
[Chen Kai]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2019  中国科学院软件研究所 - Feedback
Powered by CSpace