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Conference Paper A Harmful Content Protection in Peer-to-Peer Networks
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Authors
Taek Yong Nam, Ho Gyun Lee, Chi Yoon Jeong, Chi Moon Han
Issue Date
2004-10
Citation
International Conference on AI, Simulation, and Planning in High Autonomy Systems (AIS) 2004 (LNCS 3397), v.3397, pp.617-626
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/978-3-540-30583-5_65
Project Code
04MK1900, 내용 기반 유해정보 방지기술 개발(Offensive and Harmful Information Protection Technology), Jong Soo Jang
Abstract
A variety of activities like commerce, education, voting is taking place in cyber-space these days. As the use of the Internet gradually increases, many side effects have appeared. Therefore, it is time to address the many troubling side effects associated with the Internet. In this paper, we propose a method of prevention of adult video and text in Peer-to-Peer networks and we evaluate text categorization algorithms for Peer-to-Peer networks. We also suggest a new image categorization algorithm for detecting adult images and compare its performance with existing commercial software. © Springer-Verlag Berlin Heidelberg 2005.
KSP Keywords
Content protection, Peer-to-Peer(P2P), Side effects, Text categorization, Video and text, commercial software, image categorization