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.
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Nam, T., Lee, H.G., Jeong, C.Y., Han, C. (2005). A Harmful Content Protection in Peer-to-Peer Networks. In: Kim, T.G. (eds) Artificial Intelligence and Simulation. AIS 2004. Lecture Notes in Computer Science(), vol 3397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30583-5_65
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DOI: https://doi.org/10.1007/978-3-540-30583-5_65
Publisher Name: Springer, Berlin, Heidelberg
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