摘要
互联网自媒体呈现大数据特征,负能量言行时常爆发,舆情检测已经成为网络监管的重大难点问题.本文基于软件定义网络、蜜罐技术和分布式架构,综合"流量级"检测和"进程级"检测2个层面,通过构造异常行为数据集和敏感文本类型数据集,设计负能量舆情倾向的检验算法,搭建虚拟蜜罐式主动性舆情检测系统.实践证明,虚拟蜜罐式主动舆情检测系统,能较好地完成自媒体圈的主题倾向监测任务,为自媒体圈舆情检测技术提供新的研究视角.
The internet we-media has large break out. So public opinion detection becomes data characteristics, and negative energy words and deeds often a major and difficult problem in network regulation. Based on software definition network, honeypot technology and distributed architecture, integrates ＂traffic level＂ detection and ＂process level＂ detection two levels, then negative energy public opinion test algorithm was designed and a virtual honeypot active public opinion detection system through constructing the exception behavior data set and the sensitive text type data set. Practice proved that virtual honeypot active public opinion detection system can better complete the thematic tendency monitoring tasks from we- media circle, and it can provide a new perspective for public opinion detection technology from we-media circle.
出处
《湖南科技大学学报（自然科学版）》
北大核心
2017年第4期69-78,共10页
Journal of Hunan University of Science And Technology：Natural Science Edition
基金
教育部人文社会科学研究资助项目(14YJA860017
16XJJAZH003)
国家自然科学基金资助项目(61562080)
新疆高校科学研究重点资助项目(XJEDU2016I064
XJEDU2017M025)
关键词
自媒体
舆情检测
蜜罐
虚拟机
进程级检测
we-media
public opinion test
honey-pots
virtual machine
process detection
