A harmful content protection in peer-to-peer networks

Authors:
Taekyong Nam;Ho Gyun Lee;Chi Yoon Jeong;Chimoon Han
Affiliations:
Electronics and Telecommunications Research Institute, Privacy Protection Research Team, Daejeon, Korea;Electronics and Telecommunications Research Institute, Privacy Protection Research Team, Daejeon, Korea;Electronics and Telecommunications Research Institute, Privacy Protection Research Team, Daejeon, Korea;Dept. of Electronics and Information Engineering, Hankuk University of Foreign Studies, kyenggi-do, Korea
Venue:
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Year:
2004

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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.