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International Journal of Computer and Communication Technology

Abstract

Nowadays internets is becoming an amazing resource and provide hours of fun for kids. Clearly there are many benefits that result from Internet usage, but there is a side to the internet that can be worrying for any parent. Internet is explored, in particular: child sexual exploitation; children's exposure to sexually explicit or offensive material, so there is need of a system which prevents child abuse from internet. Currently many systems are developed to prevent Internetrelated child abuse. In this paper, we have developed a web page classification model, which will protect children from harmful and offensive material available on internet. Our approach uses entropy term weighting scheme, Principal Component Analysis for feature reduction and Back propagation neural network as classifier. Our experiment result shows that our approach performed well as comparison to other approaches.

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