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Published Articles >> Table of Contents >> Abstract
2003 IEEE/WIC International Conference on Web Intelligence (WI'03)
p. 574
WebGuard: Web Based Adult Content Detection and Filtering System
Mohamed Hammami, Ecole Centrale de Lyon
Youssef Chahir, Université de Caen
Liming Chen, Ecole Centrale de Lyon
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2003.1241271
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This paper describes a Web filtering system "WebGuard", which aims to automatically detect and filter adult content on the Web. WebGuard uses Web crawler to extract relevant data from the Web, combines the textual content, the image content, and the URL name of a Web page to construct its feature vector. WebGuard uses data mining techniques to classify URLs into two classes: suspect URLs and normal URLs. The suspect URLs are stored in a database, which is constantly and automatically updated in order to reflect the highly dynamic evolution of the Web. When working, WebGuard simply captures a user’s URL, matches it with the suspect URLs stored in the database and takes an appropriate action - filtering or blocking - according to the result of the analysis. Our preliminary results show that it can detect and filter adult content effectively.
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Citation:
Mohamed Hammami, Youssef Chahir, Liming Chen,
"WebGuard: Web Based Adult Content Detection and Filtering System,"
wi,
p. 574,
2003 IEEE/WIC International Conference on Web Intelligence (WI'03),
2003
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