Content based spam detection in email using Bayesian classifier
Published: Apr 1, 2015
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...
Paper Details
Title
Content based spam detection in email using Bayesian classifier
Published Date
Apr 1, 2015
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History