Email Spoofing Detection

Computer Science & Engineering

Emails are widely regarded as an essential form of communication in the present age of modernization, serving both personal and professional needs. Information about payments , financial statements, authentication information and card payment reports are just a few examples of the sensitive and personal information that is frequently routed over email. Emails are valuable to hackers. As a matter of fact, information in emails can be utilized for evil. Cyber attackers are always looking for innovative methods to abuse people for their own benefit. It is vital to remain attentive while receiving an email, whether from an anonymous source, someone close to you, or an organisation you are familiar with. Spam email is an unwanted email that is typically distributed in bulk to a large number of recipients. Email Spoofing is a way of impersonation, in which the scammer sends spam emails using a forged email address. The goal of email spoofing is deceiving users into believing that the email is from someone they know or can trust, for example: a colleague, vendor or brand. Exploiting that trust, the spammer asks the recipient to disclose personal information or take some other action. Spoofers use this method of deception because they know a person is more likely to engage with the content of the email if they are familiar with the sender. Spoofing is commonly used by cyber criminals as an aspect of a phishing attempt. Phishing is a method of acquiring data by impersonating an email id and sending an email that appears to be from a reputable source that may fairly request such information. The idea is to trick victims into selecting a link or downloading a file that will install malware on their device. Spoofing is also linked to domain forgery, which involves using an email id that is identical to another email id. Cyber-attacks have risen significantly in the past couple of years. Spoofed emails have caused significant financial and security breaches. This paper's primary goal is to design and examine several machine-learning algorithms and techniques for spotting fraudulent and spoofed emails.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.