Elaboration of an Artificial Model for Filtering of Spam Based on Human Renal Function

In today’s world of globalization and borderless technology, the explosion in communication has revolutionized the field of electronic communication. The e-mail is therefore one of the most used methods for its efficiency and profitability. In the last few years, the undesirables emails (SPAM) are widely spread as they play an important part in the inbox. so that such emails must be filtered and separated from those non-SPAMS (HAMS). Consequently, several recent studies have provided evidence of the importance of detection and filtering of SPAM as a major interest for the Internet community. In the present paper, we propose a meta-heuristic based on the renal system for detection and filtering spam. The natural model of the renal system is taken as an inspiration for its purification of blood, the filtering of toxins as well as the regularization of the blood pressure.The message are represented by both a bag words and N-Gram method method which is independent of languages because an email can be received in any language