E-mail Spam Filtering Using Adaptive Genetic Algorithm
Автор: Jitendra Nath Shrivastava, Maringanti Hima Bindu
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 2 vol.6, 2014 года.
Бесплатный доступ
Now a day’s everybody email inbox is full with spam mails. The problem with spam mails is that they are not malicious in nature so generally don’t get blocked with firewall or filters etc., however, they are unwanted mails received by any internet users. In 2012, more that 50% emails of the total emails were spam emails. In this paper, a genetic algorithm based method for spam email filtering is discussed with its advantages and dis-advantages. The results presented in the paper are promising and suggested that GA can be a good option in conjunction with other e-mail filtering techniques can provide more robust solution.
Spam Filtering, Genetic Algorithm, SPAM and HAM
Короткий адрес: https://sciup.org/15010528
IDR: 15010528
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