基于D-S证据理论的脆弱性态势数据融合方法研究  

RESEARCH ON VULNERABILITY SITUATIONAL DATA FUSION METHOD BASED ON D-S EVIDENCE THEORY

作　　者：赵争业[1,2] 夏远[3] 钟求喜[1] 

机构地区：[1]国防科学技术大学计算机学院湖南长沙410073 [2]中国人民解放军95880部队北京100843 [3]中国银联股份有限公司上海201201

出　　处：《计算机应用与软件》2013年第9期84-87,共4页Computer Applications and Software

基　　金：国家高技术研究发展计划项目(2011AA01A103);长江学者和创新团队发展计划项目(IRT1012);湖南省自然科学基金项目(11JJ7003)

摘　　要：将基于D-S证据理论的融合算法应用在态势感知领域的脆弱性态势数据处理中,对网络扫描和主机扫描等多种手段得到的脆弱性数据进行融合与分析。通过对脆弱性数据进行规格化,构造概率分配及融合处理,有效利用多源数据的冗余性、互补性,实现了对多个扫描结果的综合。结果表明此方法得到的结果更加全面可靠。We apply the D-S evidence theory-based fusion algorithm to vulnerability situational data processing in situational awareness domain, and fuse and analyse the vulnerability data acquired by diverse means of network scanning and host scanning, etc. Though normalising the vulnerability data to construct the probability assignment and carry out fusion and processing, we make efficient use of the redundancy and complementarity of multi-source data and implement the integration of multiple scanning results. Outcome shows that the results obtained by this method are more comprehensive and reliable.

关 键 词：态势感知 数据融合 D-S证据理论脆弱性 漏洞扫描 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]