An early decision algorithm to accelerate web content filtering

Po Ching Lin*, Ming Dao Liu, Ying-Dar Lin, Yuan Cheng Lai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Real-time content analysis can be a bottleneck in Web filtering. This work presents a simple, but effective early decision algorithm to accelerate the filtering process by examining only part of the Web content. The algorithm can make the filtering decision, either to block or to pass the Web content, as soon as it is confident with a high probability that the content should belong to a banned or an allowable category. The experiments show the algorithms can examine only around one-fourth of the Web content on average, while the accuracy remains fairly good: 89% in the banned content and 93% in the allowable content. This algorithm can complement other Web filtering approaches to filter the Web content with high efficiency.

Original languageEnglish
Title of host publicationInformation Networking
Subtitle of host publicationAdvances in Data Communications and Wireless Networks - International Conference, ICOIN 2006. Revised Selected Papers
PublisherSpringer Verlag
Pages833-841
Number of pages9
ISBN (Print)3540485635, 9783540485636
DOIs
StatePublished - 1 Jan 2006
EventInternational Conference on Information Networking, ICOIN 2006 - Sendai, Japan
Duration: 16 Jan 200619 Jan 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3961 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Information Networking, ICOIN 2006
CountryJapan
CitySendai
Period16/01/0619/01/06

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    Lin, P. C., Liu, M. D., Lin, Y-D., & Lai, Y. C. (2006). An early decision algorithm to accelerate web content filtering. In Information Networking: Advances in Data Communications and Wireless Networks - International Conference, ICOIN 2006. Revised Selected Papers (pp. 833-841). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3961 LNCS). Springer Verlag. https://doi.org/10.1007/11919568_83