標題: An early decision algorithm to accelerate web content filtering
作者: Lin, Po-Ching
Liu, Ming-Dao
Lin, Ying-Dar
Lai, Yuan-Cheng
資訊工程學系
Department of Computer Science
公開日期: 2006
摘要: 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.
URI: http://hdl.handle.net/11536/17124
ISBN: 3-540-48563-5
ISSN: 0302-9743
期刊: Information Networking: ADVANCES IN DATA COMMUNICATIONS AND WIRELESS NETWORKS
Volume: 3961
起始頁: 833
結束頁: 841
Appears in Collections:Conferences Paper