基于因子加权的网络安全态势感知方法

doi:10.11772/j.issn.1001-9081.2015.05.1393

计算机应用 ›› 2015, Vol. 35 ›› Issue (5): 1393-1398.DOI: 10.11772/j.issn.1001-9081.2015.05.1393

基于因子加权的网络安全态势感知方法

文志诚, 曹春丽

湖南工业大学计算机与通信学院, 湖南株洲 412007

收稿日期:2014-11-19 修回日期:2014-12-29 出版日期:2015-05-10 发布日期:2015-05-14
通讯作者: 文志诚
作者简介:文志诚(1972-),男,湖南东安人,副教授,博士,主要研究方向:网络安全、可信软件; 曹春丽(1980-),女,湖南常宁人,讲师,硕士,主要研究方向:软件项目管理.
基金资助:
国家自然科学基金资助项目(61073186).

Network security situation awareness based on weighted factor

WEN Zhicheng, CAO Chunli

College of Computer and Communication, Hunan University of Technology, Zhuzhou Hunan 412007, China

Received:2014-11-19 Revised:2014-12-29 Online:2015-05-10 Published:2015-05-14

摘要/Abstract

摘要：

针对目前安全态势感知(SA)范围局限、信息来源单一、时空复杂度较高且准确性偏差较大等问题,提出了一个全方位因子加权感知网络安全态势框架,充分考虑了多信息源与多层次异构信息融合,从整体动态上展示出网络当前安全状况,准确地反映了网络安全态势.最后利用网络实例数据,对所提出的因子加权的网络安全态势感知模型和算法进行了验证,实验结果表明了所提方法的正确性.

关键词: 多源信息, 信息融合, 加权因子, 安全态势感知

Abstract:

Concerning the problem of present network security Situation Awareness (SA) that scope is limited, time and space complexity is high with the issues of single source information and accuracy deflection, a framework of network security situational awareness with comprehensive factor weighted factor was presented. It fully considered the multiple-source and multi-level heterogeneous information fusion, thus displayed the network current security situation overall and reflected it accurately. Finally from instance data of network, the proposed model and algorithm of weighted factor network security situational awareness were verified, and the experimental results showed the validity of the proposed method.

Key words: multi-source information, information fusion, weighted factor, security Situation Awareness (SA)

中图分类号:

TP311

文志诚, 曹春丽. 基于因子加权的网络安全态势感知方法[J]. 计算机应用, 2015, 35(5): 1393-1398.

WEN Zhicheng, CAO Chunli. Network security situation awareness based on weighted factor[J]. Journal of Computer Applications, 2015, 35(5): 1393-1398.

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基于因子加权的网络安全态势感知方法

Network security situation awareness based on weighted factor

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