Detecting Harmful Web Documents Based on Web Document Analyses


The KIPS Transactions:PartD, Vol. 12, No. 5, pp. 683-688, Oct. 2005
10.3745/KIPSTD.2005.12.5.683,   PDF Download:

Abstract

A huge amount of web documents, which are published on the Internet, provide to users not only helpful information but also harmful information such as pornography. In this paper we propose a method to detect the harmful web documents effectively. We first analyze harmful web documents, and extract factors to determine whether a given web document is harmful. Detail criteria are also described to assign a harmfulness score to each factor. Then the harmfulness score of a web document is computed by adding the harmfulness scores of all factors. If the harmfulness score of a web document is greater than a given threshold, the web document is detected as harmful. It is expected that this study could contribute to the protection of users from harmful web documents on the Internet.


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Cite this article
[IEEE Style]
K. H. Kim, J. M. Choi, J. H. Lee, "Detecting Harmful Web Documents Based on Web Document Analyses," The KIPS Transactions:PartD, vol. 12, no. 5, pp. 683-688, 2005. DOI: 10.3745/KIPSTD.2005.12.5.683.

[ACM Style]
Kwang Hyun Kim, Joung Mi Choi, and Joon Ho Lee. 2005. Detecting Harmful Web Documents Based on Web Document Analyses. The KIPS Transactions:PartD, 12, 5, (2005), 683-688. DOI: 10.3745/KIPSTD.2005.12.5.683.