【作者】 王磊； 王丰辉； 郑康锋； 杨义先；

【Author】 Wang lei, WangFenghui, Zheng Kangfeng, Yang Yixian (Information Engineering School Beijing University Of Posts and Telecommunications 100876)

【机构】 北京邮电大学信息工程学院；

【摘要】 本文的主要内容如下:作为Web挖掘方面的实际应用,本文在漏洞收集方面提出自己的模型, 开发了一种新的软件——漏洞自动收集软件。该软件从一些特定的网站自动收集漏洞信息,并对收集到的漏洞信息进行自动分析整理入库,从而极大的提高了收集效率。然后重点介绍了软件的整体框架、系统流程和具体实现,形成了一套全自动的漏洞收集机制。同时对漏洞库进行数据挖掘,在漏洞数据库的基础上,数据挖掘技术可以用来发现有关漏洞的一些规律和模式,进而为进一步发现漏洞提供帮助。更多还原

【Abstract】 The main content of this thesis is as following: as the application of Web Mining technology, we present a model, design and develop a new software--vulnerability auto-collection software, It can collect vulnerability information from some given websites , then the information can be analyzed, tidied and enclosed database, therefore, the software improves the efficiency of the collection increasingly. This paper then discusses the whole structure and the system process of the vulnerability auto-collection software, and brings forward the specific realization of the software, forming a totally automatic mechanism of vulnerability collection. Meanwhile, It wage the vulnerability database against on the data mining. Based on the vulnerability database, the technology of data mining can be used to find some regulation and mode, while, it provide help to take a step forward to find vulnerability.更多还原