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
题名:
covert channel identification founded on information flow analysis
作者: Shen JJ ; Qing SH ; Shen QN ; Li LP
会议名称: International Conference on Computational Intelligence and Security
会议日期: DEC 15-19,
出版日期: 2005
会议地点: Xian, PEOPLES R CHINA
出版者: COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 2, PROCEEDINGS
出版地: HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
收录类别: sci ; istp
ISSN: 0302-9743
ISBN: 3-540-30819-9
部门归属: Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China. Grad Univ, Chinese Acad Sci, Beijing 100080, Peoples R China.
主办者: IEEE Computat Intelligence, Hong Kong Chapter, Xidian Univ, Hong Kong Baptist Univ, Natl Nat Sci Fdn China, Guangdong Univ Technol
英文摘要: This paper focuses on covert channel identification in a nondiscretionary secure system. The properties of covert channels are analyzed by channel types. Information flow characteristics are utilized to optimize channel identification with the
语种: 英语
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/12696
Appears in Collections:软件所图书馆_会议论文

Files in This Item:
File Name/ File Size Content Type Version Access License
covert channel identification founded on information flow analysis.pdf(175KB)----限制开放-- 联系获取全文

Recommended Citation:
Shen JJ,Qing SH,Shen QN,et al. covert channel identification founded on information flow analysis[C]. 见:International Conference on Computational Intelligence and Security. Xian, PEOPLES R CHINA. DEC 15-19,.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Shen JJ]'s Articles
[Qing SH]'s Articles
[Shen QN]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Shen JJ]‘s Articles
[Qing SH]‘s Articles
[Shen QN]‘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 © 2007-2017  中国科学院软件研究所 - Feedback
Powered by CSpace