中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 期刊论文
Title:
基于时空维度分析的网络安全态势预测方法
Alternative Title: Network situation prediction method based on spatial-time dimension analysis
Author: 刘玉岭 ; 冯登国 ; 连一峰 ; 陈恺 ; 吴迪
Corresponding Author: Liu, Yuling
Keyword: 网络安全 ; 安全态势预测 ; 安全态势要素 ; 空间数据发掘 ; 时空维度 ; network security ; security situation prediction ; security situation element ; spatial data mining ; spatial-time dimension
Source: 计算机研究与发展
Issued Date: 2014
Volume: 51, Issue:8, Pages:1681-1694
Indexed Type: EI ; CSCD
Department: 中国科学院软件研究所可信计算与信息保障实验室 北京 100190;中国科学院大学 北京 100049;信息安全共性技术国家工程研究中心 北京 100190 中国科学院软件研究所可信计算与信息保障实验室 北京 100190;中国科学院大学 北京 100049 信息安全共性技术国家工程研究中心 北京 100190
Abstract: 现有网络安全态势预测方法无法准确反映未来安全态势要素值变化对未来安全态势的影响,且不能很好地处理各安全要素间的相互影响关系对未来网络安全态势的影响,提出了基于时空维度分析的网络安全态势预测方法.首先从攻击方、防护方和网络环境3方面提取网络安全态势评估要素,然后在时间维度上预测分析未来各时段内的安全态势要素集,最后在空间维度上分析各安全态势要素集及其相互影响关系对网络安全态势的影响,从而得出网络的安全态势.通过对公用数据集网络的测评分析表明,该方法符合实际应用环境,且相比现有方法提高了安全态势感知的准确性.
English Abstract: Network security situation prediction methods can make the security administrator better understand the network security situation and the network situation trend. However, the existing security situational prediction methods can not precisely reflect the variation of network future security situation caused by security elements' change and do not handle the impact of the interaction relationship between the various security elements of future network security situation. In view of this situation, a network situation prediction method based on spatial-time dimension analysis is presented. The proposed method extracts security elements from attacker, defender and network environment. We predict and analyze these elements from the time dimension in order to provide data for the situation calculation method. Using the predicted elements, the impact value caused by neighbor node's security situation elements is computed based on spatial data mining theory. In combination with node's degree of importance, the security situation value is obtained. To evaluate our methods, MIT Lincoln Lab's public dataset is used to conduct our experiments. The experiments results indicate that our method is suitable for a real network environment. Besides, our method is much more accurate than the ARMA model method.
Language: 中文
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16708
Appears in Collections:软件所图书馆_期刊论文

Files in This Item:

There are no files associated with this item.


Recommended Citation:
刘玉岭,冯登国,连一峰,等. 基于时空维度分析的网络安全态势预测方法[J]. 计算机研究与发展,2014-01-01,51(8):1681-1694.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[刘玉岭]'s Articles
[冯登国]'s Articles
[连一峰]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[刘玉岭]‘s Articles
[冯登国]‘s Articles
[连一峰]‘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