Networking support for neural network-based intelligent web monitoring and filtering

Fong, A.C.M., Hui, S.C. and Lee, P.Y. (2004) Networking support for neural network-based intelligent web monitoring and filtering. In: Zhang, Y.-Q. (ed.) Computational Web Intelligence: Intelligent Technology for Web Applications. Series: Series in machine perception and artificial intelligence (58). World Scientific: Singapore, pp. 369-389. ISBN 9789812388278 (doi: 10.1142/9789812562432_0018)

Abstract

Like any self-regulating environment, the Internet is prone to abuse by individuals who use it for illegal or immoral purposes. The ability to discreetly intercept and analyze Internet traffic has tremendous potential both to protect unsuspecting users from harmful Web materials, and for the fight against organized crime and terrorism. Using the intelligent filtering and monitoring of pornographic Web pages as a case study, we have investigated strategies for monitoring Internet traffic. Based on our analysis, we have developed a Web content filtering system that decouples the monitoring process from Web content analysis process to achieve low latency and high accuracy. In particular, an Online Monitoring Agent performs the monitoring and filtering process, whereas an Offline Classification Agent that employs machine intelligence for classification of Web pages performs Web content analysis. We have implemented and tested the system and found that it consistently outperformed other, commercially available, Web filtering systems.

• Item Type: Book Sections
• Status: Published
• Glasgow Author(s) Enlighten ID: Fong, Dr Alvis Cheuk Min
• Authors: Fong, A.C.M., Hui, S.C., and Lee, P.Y.
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: World Scientific
• ISSN: 1793-0839
• ISBN: 9789812388278