关键词: 关键词: 内容挖掘, 关键字匹配算法, 特征匹配, 广域信息管理系统业务数据

Abstract: Abstract: In view of the data security problems in SWIM data exchange and service sharing, the security risks in the SWIM business process are analyzed, and a method of filtering malicious data based on the LDA topic model is proposed. Firstly, four kinds of SWIM business data are analyzed with big data, and the feature extraction content of business data is mined by LDA model. Finally, the pattern string is searched in the main string by using KMP matching algorithm to detect SWIM business data with malicious keywords. The test method is tested in the Linux kernel. The experimental results show that this method can effectively mine the content of SWIM business data and have better detection performance than other methods.

Key words: content mining, keyword matching algorithm, feature matching, swim business data