Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Two Pass Spam Filter Using Origin and Bayesian Approach


Affiliations
1 Computer Science & Engineering, TIT, Bhopal, India
     

   Subscribe/Renew Journal


In recent years one cheap and reliable communication medium Email is growing and use of it reached beyond the limit, but it has created one huge problem that is of spam (junk) Email. Solution of this spam is construction of automatic filtering system which eliminates unwanted mails. Bayesian approach is common and efficient for doing this task. Bayesian approach is nothing but casting the problem of removal of Junk Email into decision theoretic framework. At first glance it seems to be simple text classification problem, but right now many researches are going on the same because cost of misclassification of the legitimate to Junk is very high. Here we have considered A Bayesian Approach for filtering Junk Email. A Bayesian Approach is classifying mail by checking its content and it is very time consuming process. So, to improve performance of spam filter here we filter the spam by origin and its content using Bayesian approach.

Keywords

Bayesian, Origin of Mail, Text Classification, Spam Filer.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 230

PDF Views: 3




  • Two Pass Spam Filter Using Origin and Bayesian Approach

Abstract Views: 230  |  PDF Views: 3

Authors

Rashmi Gupta
Computer Science & Engineering, TIT, Bhopal, India
Nitin Rola
Computer Science & Engineering, TIT, Bhopal, India

Abstract


In recent years one cheap and reliable communication medium Email is growing and use of it reached beyond the limit, but it has created one huge problem that is of spam (junk) Email. Solution of this spam is construction of automatic filtering system which eliminates unwanted mails. Bayesian approach is common and efficient for doing this task. Bayesian approach is nothing but casting the problem of removal of Junk Email into decision theoretic framework. At first glance it seems to be simple text classification problem, but right now many researches are going on the same because cost of misclassification of the legitimate to Junk is very high. Here we have considered A Bayesian Approach for filtering Junk Email. A Bayesian Approach is classifying mail by checking its content and it is very time consuming process. So, to improve performance of spam filter here we filter the spam by origin and its content using Bayesian approach.

Keywords


Bayesian, Origin of Mail, Text Classification, Spam Filer.