基于关键词分级检索的Web信息访问监控算法

Web Information Access Monitoring Algorithm Based on Keyword Hierarchical Retrieval

Web信息访问的有效监控已成为保证网络安全的重要部分,提出基于关键词分级检索的Web信息访问监控算法。充分考虑词汇链长度、词汇链中词汇分布密度等因素计算所搜寻词语与初始词汇链相似度,依据相似度结果构建词汇链,基于词汇的首次出现位置、所处文档区域、所处词汇链强度、词汇信息熵四种属性确定文档中词汇权值,降序排列词汇链内全部词汇权值,依次选取权值较大的词汇作为关键词,根据所确定关键词实现关键词分级检索Web信息,利用PageRank算法获取Web页面重要程度排序Web网页超链接,依据超链接排序结果确定监控周期实现Web信息访问监控。实验结果表明,该算法可通过分级检索关键词实现Web信息访问有效监控,监控有效率高于99%,监控误报率低于1%,可有效提升网络访问安全性。

Network security is closely related to the effective monitoring of Web information access.Therefore,we reported a monitoring algorithm for web information access based on keyword hierarchical retrieval.The length of the lexical chain and the distribution density of the words in the vocabulary chain were used to calculate the similarity between the words searched and the initial vocabulary chain.Based on the similarity result,the lexical chain was constructed.According to the location of the first occurrence of vocabulary,the region of the document,the strength of the vocabulary chain and the information entropy of the vocabulary,the vocabulary weight in the document was determined,and all the vocabulary weights in the vocabulary chain were arranged in descending order.The words with higher weight were selected as keywords in turn.The web information of keyword classification retrieval was achieved via the keyword.PageRank algorithm was introduced to get the importance of web pages to sort web page hyperlinks.According to the sorting results,the monitoring period was determined to realize the access monitoring of Web information.Experimental results show that the algorithm can effectively monitor web information access through hierarchical keyword retrieval.The monitoring efficiency is higher than 99%and the monitoring false alarm rate is lower than 1%,which can effectively improve the security of network access.