Accurate Spam Mail Detection using Bayesian Algorithm 

Abstract

— With the increasing popularity of a E-mail users, E-mail spam problem growing proportionally. Spam filtering with near duplicate matching scheme is widely discussed in recent years. It is based on a known spam database formed by user feedback which cannot fully catch the evolving nature of spam and also it requires much storage. In view of above drawbacks, we proposed an effective spam detection scheme based on Bayesian approach. First we use Bayesian filter based on single keyword sets and then we improve the scheme by using multiple keyword sets and satisfactory results obtained.  

Authors and Affiliations

Mrs. V. KANAKA DURGA , Mr. M. R. RAJA RAMESH,

Keywords

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  • EP ID EP162079
  • DOI -
  • Views 76
  • Downloads 0

How To Cite

Mrs. V. KANAKA DURGA, Mr. M. R. RAJA RAMESH, (2012). Accurate Spam Mail Detection using Bayesian Algorithm . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 1(4), 402-406. https://europub.co.uk./articles/-A-162079