Fuzzy logic for e-mail spam deduction

Authors:
P. Sudhakar;G. Poonkuzhali;K. Thiagarajan;R. Kripa Keshav;K. Sarukesi
Affiliations:
Vernalis systems Pvt Ltd, Chennai, India;Department of Computer Science and Engineering, Rajalakshmi Engineering College, Anna University, Chennai, Tamil Nadu, India;Department of Science and Humanities, KCG College of Technology, Anna University, Chennai, Tamil Nadu, India;Department of Computer Science and Engineering, Rajalakshmi Engineering College, Anna University, Chennai, Tamil Nadu, India;Hindustan Institute of Technology and Science, Chennai,Tamil Nadu, India
Venue:
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Year:
2011

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Abstract

In this Information era, most of the communication is happening through e-mails. Many emails contain web spam, as the transaction through this internet is affected by Passive attacks and Active attacks. Recently, several algorithms are developed partially for detecting spam emails. Therefore there is a need for improving the performance of the spam-detecting algorithm. In this proposed work fuzzy rules are defined and applied to all incoming emails. Based on the result of the various rules against user attitude, input email is classified as spam or ham. This method outperforms the existing spam-detecting algorithms in terms of accuracy and user friendly.