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Big data analytics based Web Crawling System and The Method for searching and collecting open source vulnerability analysis target

机译:基于大数据分析的Web爬网系统及开源漏洞分析目标的搜索和收集方法

摘要

The present invention relates to open source software for uploading open source software developed by a software developer to the information store via the web in order to facilitate mutual information sharing, Open source software vulnerability analysis is performed by collecting open source software based on vulnerability definition information and big data analysis processing by constructing vulnerability risk search keyword set in order to selectively collect open source software likely to be vulnerable to software. The collection time and the inspection time for the target can be reduced. It is also possible to collect open source software with a high risk of vulnerability and to generate new vulnerability search keyword sets whenever vulnerability analysis is performed or to update existing vulnerable keyword sets so that vulnerabilities can be inherent due to more specific and concrete keywords This is a big data analysis based web crawling system for search and collection of open source vulnerability analysis that can collect higher open source software. The present invention relates to a vulnerability analysis module capable of analyzing a vulnerability of an open source software, a vulnerability definition specification DB serving as standard information of a vulnerability analysis for a software vulnerability, and an analysis result obtained by the vulnerability analysis module, Vulnerability analysis result information stored in the information DB, Vulnerability analysis result information DB analysis result information Vulnerability definition corresponding to the information information Vulnerability information for mapping the information information Vulnerability information mapping module for grouping and storing the information mapped by the vulnerability mapping information module Vulnerability analysis engine including information DB; A big data analysis module and a big data analysis module that import vulnerability information mapping information from the vulnerability information mapping information DB of the vulnerability analysis engine and input external vulnerability trend information and define vulnerability risk keywords through keyword frequency number and keyword association analysis The vulnerability is found in the open source software stored in the web-based open source information repository using the vulnerability search data set generation module and the generated vulnerability risk data set that constitute and generate the vulnerable risk keyword Vulnerability to generate a search query to search for open source software that is likely to be open, a search query query module, a vulnerability to collect and store the corresponding open source software through query words generated by the vulnerability search query query module It is characterized by a vulnerability that includes an open source collection module, an open source collection engine, and a generated vulnerability search data set consisting of operating system names and vulnerable keywords.
机译:本发明涉及一种开源软件,用于通过网络将软件开发人员开发的开源软件通过网络上传到信息存储中,以促进相互信息共享。通过基于漏洞定义信息收集开源软件来进行开源软件漏洞分析通过构建漏洞风险搜索关键字集来进行大数据分析处理,以便有选择地收集可能容易受到软件攻击的开源软件。可以减少目标物的收集时间和检查时间。还可以收集具有高漏洞风险的开源软件,并在执行漏洞分析时生成新的漏洞搜索关键字集,或者更新现有的漏洞关键字集,以便由于更具体,更具体的关键字而固有的漏洞。一个基于大数据分析的Web爬网系统,用于搜索和收集开源漏洞分析,可以收集更高版本的开源软件。本发明涉及一种能够分析开源软件的漏洞的漏洞分析模块,用作软件漏洞的漏洞分析的标准信息的漏洞定义规范DB,以及由漏洞分析模块获得的分析结果。信息DB中存储的分析结果信息,漏洞分析结果信息DB分析结果信息中与信息信息相对应的漏洞定义,用于映射信息信息的漏洞信息,用于对漏洞映射信息模块所映射的信息进行分组和存储的漏洞信息映射模块。引擎包括信息数据库;大数据分析模块和大数据分析模块,用于从漏洞分析引擎的漏洞信息映射信息数据库中导入漏洞信息映射信息,输入外部漏洞趋势信息,并通过关键词频数和关键词关联分析定义漏洞风险关键词。使用漏洞搜索数据集生成模块和生成的漏洞风险数据集在基于Web的开源信息存储库中存储的开源软件中找到漏洞,该漏洞构成和生成漏洞风险关键字漏洞以生成搜索查询以搜索开放可能会打开的源软件,搜索查询查询模块,通过漏洞搜索查询查询模块生成的查询词收集和存储相应开源软件的漏洞。该漏洞的特征在于包括一个开放源代码的漏洞功能模块,一个开源收集引擎以及一个生成的漏洞搜索数据集,该数据集由操作系统名称和易受攻击的关键字组成。

著录项

  • 公开/公告号KR101751388B1

    专利类型

  • 公开/公告日2017-06-27

    原文格式PDF

  • 申请/专利权人 ENKISOFT CO. LTD.;

    申请/专利号KR20170014199

  • 发明设计人 박용주;

    申请日2017-02-01

  • 分类号G06F17/30;G06F11/36;G06F21/57;

  • 国家 KR

  • 入库时间 2022-08-21 13:25:15

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