Spam mail is unsolicited bulk email, often commercial or fraudulent. It includes promotions for products or services, financial scams, and phishing attempts to extract sensitive information. Spam can also distribute malware through attachments or links, compromising the recipient’s device security. It’s a significant issue in digital communication. In order words, spam mail is characterized by its unsolicited and often malicious or deceptive nature, aimed at mass distribution to recipients for various purposes. Hence a need for an effective spam detection and prevention measures. Spam protection is a program that filters unwanted and harmful emails, preventing them from reaching a user’s inbox. Despite the rise of other e-communication forms, email remains prevalent, especially for large data transfers. However, the increase in email usage has led to a surge in spam, often aimed at promoting services, tricking recipients into revealing personal information, or causing harm. Therefore, awareness of spam dangers and protective measures is crucial for all email users.The rise in online transactions through email has globally contributed to the increasing rate of spam emails relatively which has been a big challenge in the field of computing. These spam mails are usually difficult to recognize and it is the major problem that is being faced by the users. Spam consumes almost 98% of billions of emails sent every day. Due to the presence of different email filtering systems already present in the market, Spammers have become aware of these systems. Therefore, Spammers are trying different ways to send spam or junk mails to a number of users. This research is aimed to take a look at how Spam Mails are being generated, how to detect Spam Mails, how Spam Mails are been sent, method and means with which Bad actors use to transfer or send Spam Mails to their victims so as to attack them. All this was done using machine learning approach.

Authors: O.O. Abereowo, E. Oluwafemi, A.O. Oronti, O.Y. Ogunlola, O.A. Akinsowon, I.P. Oladoja, B.K. Alese

Published in: International Conference on Information Society (i-Society-2024)

• Date of Conference: 26-28 August, 2024
• DOI: 10.20533/iSociety.2024.0030
• ISBN: 978-1-913572-72-3
• Conference Location: Churchill College, Cambridge, UK