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
fDate :
4/1/2015 12:00:00 AM
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"
Conference_Titel :
Communications and Signal Processing (ICCSP), 2015 International Conference on
DOI :
10.1109/ICCSP.2015.7322709