摘要
网络信息安全对维护国家利益,维护社会稳定,推动信息技术发展有着重要意义。一个实时监测预警系统能起到维护网络环境和谐、快速反应敏感信息、协助网管人员及时处理突发情况等作用。论文通过研究藏文分词技术在实时信息监测系统中的应用,提出并实现一个结合了HTTP协议解析、数据还原和藏文文本抽取与分词技术的实时信息监测系统,并结合DFA的思想提出一个多层动态HASH表关键词匹配算法,使系统到达良好的实时监测预警效果。
Network information security is of great significance to safeguard national interests, maintain social stability, and promote the development of information technology.A real-time monitoring and early warning system can play a role in maintaining the harmony of the network environment, dealing with sensitive information quickly, assisting the network manager to handle the unexpected situation in a timely manner.This paper through the study of the application of Tibetan word segmentation technology in real-time information monitoring system, proposed and implemented areal-time information monitoring system, which combines the HTTP protocol analysis, data reduction and Tibetan text extraction and segmentation technology, and put forward a multi-layer Dynamic Hash table of keyword matching algorithm combined with the idea of DFA, that makes the system hasa good effect.
出处
《网络空间安全》
2016年第9期45-48,共4页
Cyberspace Security
基金
国家自然科学基金[61262086]
名称:基于朴素贝叶斯算法的藏文垃圾短信过滤研究
关键词
信息监测
关键词匹配
藏文文本抽取
information monitoring
keyword matching
tibetan text extraction
