Spam Detection Using Artificial Intelligence

Authors

  • Chetan Malik Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, India
  • Deepak Pal Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, India
  • Vishu Verma Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, India

Keywords:

Electronic emails, Email spam, Spam detection, Machine Learning, Support Vector Machine, Naïve Bayes classifier

Abstract

Now-a-days, the most majority of people depend on what is available email or messages sent by a stranger. Possibly anyone can leave an email or message provide gold the opportunity for spam senders to write a spam message about us different interests. Spam fills in the inbox with a number of funny things emails. Slow down our internet speed. Theft useful information such as our details on our contact list. Identifying these people who post spam and spam content can be a hot topic for research and strenuous activities. Email Spam is functionality of mass mailings. From the cost of Spam is heavily censored by the recipient, it is a successful post proper advertising. Spam email is a form of commercial advertising economically viable because email can be costly effective sender method. With this proposed model I some message may be declared spam or not use Bayes' theorem and Naive Bayes ’Classifier and IP addresses of sender is usually found.

Downloads

Download data is not yet available.

Downloads

Published

15-05-2022

Issue

Section

Articles

How to Cite

[1]
C. Malik, D. Pal, and V. Verma, “Spam Detection Using Artificial Intelligence”, IJRAMT, vol. 3, no. 5, pp. 52–56, May 2022, Accessed: Dec. 22, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/2043