Enhancing Secure Email Communication using Tracking and Blocking of Suspicious Email User

Author(s):

S. Srigayathri , Valliammai Engineering College; V. Udhaya Lakshmi, Valliammai Engineering College; G. Rathiya, Valliammai Engineering College; G. Sangeetha, Valliammai Engineering College

Keywords:

Sweet Protocol, Unsolicited Mail, Message Similarity, Naive Bayes

Abstract:

E-mail spam continues to become a problem on the Internet. Spammed e-mail may contain many copies of the same message, commercial advertisement or other irrelevant posts. In previous system, different filtering techniques are used to detect these e-mails using random forest and neural network. Initially the detected spam’s are directed to the spam folder and later it can be blocked by the mail user. This paper proposes to filter out the spam messages efficiently using SWEET protocol, which is a highly available censorship resistant infrastructure. Whenever, the client composes the mail, it is sent to the sweet server through email agent. At the sweet server, based on the message similarity using Naive Bayes algorithm, bunch of unsolicited bulk email could be filtered out on the server and blocked before it reaches the Gmail server. The IP address of that spam mail is tracked and blocked from further reception of spam mail.

Other Details:

Manuscript Id	:	IJSTEV4I9053
Published in	:	Volume : 4, Issue : 9
Publication Date	:	01/04/2018
Page(s)	:	116-119

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