基于社交媒体的安全态势信息采集方法

本文针对社交媒体的信息安全的重要性,对已经发生的安全威胁事件及时做出反应,帮助目标用户更好的控制风险、消除安全隐患.本文以新浪微博API、网络爬虫技术、使用mmseg算法实现的jcseg分词器、JAVA正则表达式中文匹配、数据统计分析软件为基础,针对新浪微博的具有企业认证的用户的数据,进行关联相关用户、抓取数据、建立分类词库,并统计分析随时间变化的分类词库的词类、词频,对下一个时段的网络安全态势做出评估.

Collection methods of security situation based on Social Media

An excellent warning of network security posture can effectively evaluate The network security risks of social media, and make response to the security threats. Also it can helps people control risk and deal with the potential safety problems. In this paper, We have used API of Sina＇s micro-blog, Web crawler technology, jcseg segmentation which based on mmseg algorithm and Java regular expression matching of Chinese and statistics software, to analysis the date of company users who using Sina＇s micro-blog. By associating relevant users, Grabing date, Establishing classification thesaurus and analysising the classification thesaurus which is time-varying, We can statistical the speech and word frequency, And finally make an assessment of network security posture of future.