Web-Based Proxy Server Filtering System
The site of adverse information and security risks, the use of information filtering technology to filter information on the site, design Web-based proxy server filtering systems, analysis of the filtering function of the system described in detail the wo
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Web-Based Proxy Server Filtering System Yanjie Yang
Abstract The site of adverse information and security risks, the use of information filtering technology to filter information on the site, design Web-based proxy server filtering systems, analysis of the filtering function of the system described in detail the working principle and information processing, and gives concrete realization of Web filtering program. The system achieved through a proxy server, Web filtering and keyword filtering, site information can be dynamic filtering, so that users get useful information security. Keywords Proxy server
Information filtering Text filtering Web filtering
4.1 Introduction Network brings great convenience to people, but also with a variety of network intrusion and bad information, it is necessary to filter and filter online information, will be bad information out of information and insecurity, resulting in genuine need of security information. Currently, information filtering security technology has become a research hotspot. In 1982, Denning [1] proposed the concept of information filtering, the use of ‘‘content filter’’ to achieve the filtering. Yan and Garcia-Molina, of Stanford University, developed content-based filtering system and Stanford Information Filtering Tool, for online news group filtering; in 1987, Malone [2] developed Information lens system and proposed the information selection mode. Information filtering system which commonly occurs at home and abroad to filter information Y. Yang (&) DeZhou Vocational and Technical College, ShanDong DeZhou 253034, China e-mail: [email protected]
Y. Yang and M. Ma (eds.), Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 5, Lecture Notes in Electrical Engineering 227, DOI: 10.1007/978-3-642-35398-7_4, Ó Springer-Verlag Berlin Heidelberg 2013
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according to the principles can be divided into content-based filtering system and community-based filtering system. Content-based filtering systems have Personal Web Watcher, Citeseer to the other, filtering system based on cooperation Firefly, and Smart Filter, and so on [2].
4.2 Information Filtering Technology Overview Information filtering is the selective dissemination of information according to the needs of users in a dynamic flow of information, search information of interest to the user, shielding the other useless and bad information.
4.2.1 Information Filtering Model Current information filtering is mainly text types of information, text filtering is to create a training set according to the text categorization model [3], the effective sources of information that came out in the text, and then get a text classification model trained on the text information sources filter, and according to some feedback mechanism, continuously adjust the classification model in order to obtain better filtering effect. As shown in Fig. 4.1.
4.2.2 The Structure of Information Filtering Systems Content-based information filtering and information r
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