Spam Mail Detection Using Hybrid Secure Hash Based Naive Classifier
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Abstract
E-mail is the most prevalent approaches for communication because of its obtain ability, quick message altercation and low distribution cost. Spam mail seems as a serious issue influencing this application today's internet. Spam may contain suspicious URL’s, or may ask for financial information as money exchange information or credit card details. Classification is a way to get rid of those spam messages. Naïve byes classification based spam filtering technique is a popular method. In this work a detection of spam mail is proposed by using Naïve byes classification method by combining secure hash algorithm (SHA-512) as security purpose. Experimental results present a significant improvement in accuracy with higher F-measure compare to traditional algorithms.
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