Abstract
In a free multicultural society the classification of a message as spam is different from one user to another. What is classified as spam by one user may not be considered spam by another user. In this paper, the decision about spam is based on the behavior of the user towards different types of message content and not just on the title. A combination of multiple approaches which uses multiple techniques to filter spam is employed.
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© 2012 Springer-Verlag Berlin Heidelberg
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Ibrahim, A., Osman, I.M. (2012). A Behavioral Spam Detection System. In: Zhang, T. (eds) Future Computer, Communication, Control and Automation. Advances in Intelligent and Soft Computing, vol 119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25538-0_12
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DOI: https://doi.org/10.1007/978-3-642-25538-0_12
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