WebGuard: A Web Filtering Engine Combining Textual, Structural, and Visual Content-Based Analysis
IEEE Transactions on Knowledge and Data Engineering
Recognition of Pornographic Web Pages by Classifying Texts and Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A pornographic web page detecting method based on SVM model using text and image features
International Journal of Internet Protocol Technology
Web page classification: Features and algorithms
ACM Computing Surveys (CSUR)
Filtering adult image content with topic models
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Detection of images with adult content for parental control on mobile devices?
Mobility '09 Proceedings of the 6th International Conference on Mobile Technology, Application & Systems
Neural network based adult image classification
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
A harmful content protection in peer-to-peer networks
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Multi class adult image classification using neural networks
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
RFID-based interactive multimedia system for the children
Multimedia Tools and Applications
| Hi-index | 0.00 |
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.