Combining Classifiers for Web Violent Content Detection and Filtering

Authors:
Radhouane Guermazi;Mohamed Hammami;Abdelmajid Hamadou
Affiliations:
Miracl-Isims, Route Mharza Km 1 BP 1030 Sfax Tunisie, ;Miracl-Fss, Route Sokra Km 3 BP 802, 3018 Sfax Tunisie, ;Miracl-Isims, Route Mharza Km 1 BP 1030 Sfax Tunisie,
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

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Abstract

Keeping people away from litigious information becomes one of the most important research area in network information security. Indeed, Web filtering is used to prevent access to undesirable Web pages. In this paper we review some existing solutions, then we propose a violent Web content detection and filtering system called "WebAngels filter" which uses textual and structural analysis. "WebAngels filter" has the advantage of combining several data-mining algorithms for Web site classification. We discuss how the combination learning based methods can improve filtering performances. Our preliminary results show that it can detect and filter violent content effectively.