标题：Research and Implementation of BHO-Based Content Filtering System
作者：Li, Ruibo; Hao, Xingwei
作者机构：[Li, Ruibo; Hao, Xingwei] Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Peoples R China.
会议名称：International Conference on Information Science and Technology Application (ICISTA)
会议日期：JUN 17-19, 2013
来源：PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY APPLICATIONS (ICISTA-2013)
关键词：content filtering; BHO; URL filtering
摘要：Content filtering technology is a hot research topic in the field of Internet application. The traditional filtering algorithms, such as Error Back Propagation algorithm and KMP algorithm, in which sensitive words will be matched with the content to be retrieved one by one, and this reduces the efficiency when massive data is filtered. To solve the shortcoming above, a prototype of content filtering system based on BHO (Browser Helper Object) is proposed in this paper. The system includes URL filtering and content filtering. It stores sensitive words by way of Hash function to improve the retrieval speed, and matches them by using Longest Prefix Match algorithm and Binary Search algorithm. At last, the system is tested in two ways (accuracy and filtering time) and performs well.