To read this content please select one of the options below:

A structural and content‐based analysis for Web filtering

P.Y. Lee (P.Y. Lee is a Research Student in the School of Computer Engineering, Nanyang Technological University, Singapore.)
S.C. Hui (S.C. Hui is an Associate Professor, in the School of Computer Engineering, Nanyang Technological University, Singapore.)
A.C.M. Fong (A.C.M. Fong is a Lecturer at the Institute of Information and Mathematical Sciences, Massey University, Auckland, New Zealand.)

Internet Research

ISSN: 1066-2243

Article publication date: 1 March 2003

1686

Abstract

With the proliferation of objectionable materials (e.g. pornography, violence, drugs, etc.) available on the WWW, there is an urgent need for effective countermeasures to protect children and other unsuspecting users from exposure to such materials. Using pornographic Web pages as a case study, this paper presents a thorough analysis of the distinguishing features of such Web pages. The objective of the study is to gain knowledge on the structure and characteristics of typical pornographic Web pages so that effective Web filtering techniques can be developed to filter them automatically. In this paper, we first survey the existing techniques for Web content filtering. A study on the characteristics of pornographic Web pages is then presented. The implementation of a Web content filtering system that combines the use of an artificial neural network and the knowledge gained in the analysis of pornographic Web pages is also given.

Keywords

Citation

Lee, P.Y., Hui, S.C. and Fong, A.C.M. (2003), "A structural and content‐based analysis for Web filtering", Internet Research, Vol. 13 No. 1, pp. 27-37. https://doi.org/10.1108/10662240310458350

Publisher

:

MCB UP Ltd

Copyright © 2003, MCB UP Limited

Related articles