2004Jisuanji gongchengRequires access

Research on the Implementation of Web Content Filtering

Qing Wang, Citic Industrial

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Abstract

This paper presents the technical principle of Web content filtering and the implementing method on the fire wall and designs a content filtering model to show the advantage of the implementing on the fire wall. This model combines the URL filtering and text keywords filtering technic, discusses how to improve the classical filtering algorithm and the parameter value. This technic improves the filtering speed and doesn't deteriorate the filtering precision. Finally, it introduces how to implement it on the fire wall.

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What this paper is about

This paper presents the technical principle of Web content filtering and the implementing method on the fire wall and designs a content filtering model to show the advantage of the implementing on the fire wall. This model combines the URL filtering and text keywords filtering technic, discusses how to improve the classical filtering algorithm and the parameter value. This technic improves the filtering speed and doesn't deteriorate the filtering precision. Finally, it introduces how to implement it on the fire wall.

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Available abstract

This paper presents the technical principle of Web content filtering and the implementing method on the fire wall and designs a content filtering model to show the advantage of the implementing on the fire wall. This model combines the URL filtering and text keywords filtering technic, discusses how to improve the classical filtering algorithm and the parameter value. This technic improves the filtering speed and doesn't deteriorate the filtering precision. Finally, it introduces how to implement it on the fire wall.

Key concepts: Computer science, Content (measure theory), Collaborative filtering, Filter (signal processing), Value (mathematics), Information retrieval, Data mining, Algorithm

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