• DocumentCode
    3687352
  • Title

    Content based spam detection in email using Bayesian classifier

  • Author

    Sunil B. Rathod;Tareek M. Pattewar

  • Author_Institution
    Department of Computer Engineering, North Maharashtra University, SES´s R. C. Patel Institute of Technology, Shirpur, India
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    1257
  • Lastpage
    1261
  • Abstract
    Internet provides Emails as means of data communication. Email messaging is an essential contribution. Hacking attacks, phishing attacks and malicious attack are frequently undergo email services to attempt fraud and deception motivation. They use emails to obtain personal credentials of user for financial gain. Emails with genuine content may include phishing URLs for stealing of useful data such kind of emails are nothing but a spam. In order to detect and filter such kind of emails. Bayesian classifier is used and The performance of Bayesian classifier is evaluated in terms of Accuracy, Error, Time, Precision and Recall, Bayesian classifier is used for email classification and detection of spam mails.
  • Keywords
    "Postal services","Data communication","Computer crime","Accuracy","Indexes","Unsolicited electronic mail"
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSP.2015.7322709
  • Filename
    7322709