z-logo
open-access-imgOpen Access
Secured Mail Transformation System Using Machine Learnin
Author(s) -
Rahul Anandpara
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36764
Subject(s) - spamming , phishing , forum spam , spambot , computer science , computer security , internet privacy , the internet , world wide web , internet users
Today, Email Spam has become a major problem, with Rapid increament of internet users, Email spams is also increasing. People are using email spam for illegal and unethical conducts, phishing and fraud. Sending malicious link through spam emails which can damage the system and can also seek in into your system. Spammer creates a fake profile and email account which is easier for them. These spammers target those peoples who are not aware about frauds. So there is a need to identify the fraud in terms of spam emails. In this paper we will identify the spam by using machine learning algorithms.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here