Abstract
Spam is in spate, which accounts for over 60 percent of all emails in the world recently. Researchers are trying to develop ways to fight it but few are effective. The paper put forward a new filtering scheme based on grid technology and statistical method, which regards the user computers and email servers as nodes of the grid. They contribute and consume statistics information on the grid platform. If the number of copies of an email is obviously err from normal value, to flag it as a spam then can be a reasonable operation. As more and more nodes join the platform, the filtering precision can be further improved, just as the simulation study shows.
This work was supported by the National Science Foundation of China under the grant No. 60403043.
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Liu, P., Dong, Js., Zhao, W. (2007). A Statistical Spam Filtering Scheme Based on Grid Platform. In: Castillo, O., Melin, P., Ross, O.M., Sepúlveda Cruz, R., Pedrycz, W., Kacprzyk, J. (eds) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. Advances in Soft Computing, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72434-6_53
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DOI: https://doi.org/10.1007/978-3-540-72434-6_53
Publisher Name: Springer, Berlin, Heidelberg
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