Ontology-Based Document Profile for Vulnerability Relevancy Analysis

被引:0
|
作者
Wita, Ratsameetip [1 ]
Jiamnapanon, Nattanatch [1 ]
Teng-Amnuay, Yunyong [1 ]
机构
[1] Chulalongkorn Univ, Dept Comp Engn, Ctr Excellence Software Engn, Informat Engn Lab, Phyathai Rd, Bangkok, Thailand
关键词
subcontext; web document classification; vulnerability relevancy analysis; CVE; risk assessment;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
System vulnerability is the common weak point for attacker to break into the system. Patching or reconfiguration is usually slow, and difficult or risky to system stability. Our research defines a framework for vulnerability prioritization based on relevancy calculated from online information. In this paper, the idea of subcontext and the Ontology-based Document Profile (ODP) are introduced. ODP is calculated based on how much the document describes each subcontext of the interested topic. The ODP represents a document in term of vector of subcontext. We also compare ODP to traditional document vector using vector support machine classification. The ODP will be used to represent individual document in the vulnerability relevancy framework.
引用
收藏
页码:210 / +
页数:2
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