Abstract
Spam mails can be referred as unsolicited bulk email. These messages are used to advertise products and services for phishing purposes or to lead recipients to malicious sites with unethical intentions. Although numerous techniques to block spam e-mails have been developed, we still receive them quite often. The reason behind this is mainly ability of the spammers to manipulate the filters. Therefore we present a method based on Natural Language Processing (NLP) for the filtration of spam emails in order to enhance online security. The technique presented in this paper is a stepwise approach which blocks spam emails based on the sender as well as the content of the mail.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
