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The Comparison And Research Of Web Filtering Technology

Posted on:2008-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:P M LiuFull Text:PDF
GTID:2178360242477037Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of Internet, in which is full of a great amount of legal and illegal information, the Web Filtering has already been a new focus in security field. There are a lot of Web Filtering techniques, including URL lists filtering, keyword filtering and multi keyword filtering etc. Although these filtering technology had several decades development history, and mature products are available, regard to unique specialty of Chinese language, can it support to filter Chinese web pages smoothly with particularity of Chinese language; can it adapt to the rapid development of various Internet applications, it is puzzles we want to make it clear.The first two chapters in this thesis introduced the background of web filtering technique, why web filtering become the new focus of network security field, and why we need to pay more attention to it; we also analyzed the functions and key points of various popular web filtering techniques in detail. In Chapter 2 and 3, we implemented different testing environments to test and verify the puzzles we mentioned early. We conclude: 1) the best web filtering technique in china is a sophisticated technique based on Chinese web content filtering technique, combined mature URL list filtering, keyword filtering techniques. 2) No uniform deployment methodology for web filtering, different market has different need, different environment need different implement method. We list the best practice in different market and different environment in this thesis. Finally, we illustrate new requirements and questions in our investigation, such as requirements for filtering malicious webpage, anti-filtering challenge. We prospect for the future of development of web filtering.
Keywords/Search Tags:Web filtering, filtering based on URL list, key word filtering, image filtering
PDF Full Text Request
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