基于SECUNIA漏洞库的数据挖掘算法研究

信息安全关系到一个国家政治、经济和文化各个层面的发展。漏洞往往是引起信息安全事件的重要因素。利用数据挖掘技术,可以从大量的数据中提取出潜在的有用信息和知识。先简要介绍信息安全漏洞库和数据挖掘的相关概念,并针对Secunia漏洞库研究建立关联分析的数据挖掘过程,分析出漏洞和软件间的关联规则,为信息安全漏洞分析提供了参考。

Data Mining Algorithm based on SECUNIA Database

Information security plays an important role in the political, economic and cultural development of a state. Vulnerability tends to be an essential factor of information security. It extracts implicit potentially useful information and knowledge from the large amounts of data via data mining. Firstly, this paper briefly introduces the realtive concept of vulnerability databases and data mining, and aming at the research of Secunia vulnerability databases, the data mining process of correaltion analysis is established. What’s more, association rules between vulnerabilities and softwares are analyzed, and some reference is also provided for vulnerability databases of information security.