Distributed Agents for Web Content Filtering

Talib Al-Fatlawii, Abbas Al_Bakery
This paper describe Web Content Filtering that aimed to block out offensive material by using Distributed Agents. The proposed system using FCM algorithm and other page's features (Title, Metadata , Warning Message) to classify the websites (using as candidate) into two types:-white that considered acceptable, and black that contain harmful material taking the English Pornographic websites as a case study.