Email Spoofing Detection Using Machine Learning |
Author(s): |
| Pooja Sanjay Mehare , Sipna College Of Engineering; Srushti Badukale, Sipna College Of Engineering; Janhavi Madiwale, Sipna College Of Engineering; Swati saundale, Sipna College Of Engineering |
Keywords: |
| Spoofing, Phishing, Spamming, Domain Forgery, Malware, Cyberattack, Fraudulent |
Abstract |
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Email spoofing is a form of caricature where a scammer creates an email message with a forged sender address in hopes of deceiving the acquirer into thinking the email arise from someone other than the actualized root. Scammers will use email spoofing to help camouflage themselves as a executive program, academician, or financial organization to trick users into activity some type of action. Scammers use this acting of insincere because they know a person is more likely to absorb with the content of the email if they are familiar with who sent the message. We planned an online email spoofing detection application in which we will develop a machine learning model which will be able to classify received email into any one of the two collection spoofed or median. We planned mind tree algorithm to classify inward email. |
Other Details |
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Paper ID: IJSRDV11I20130 Published in: Volume : 11, Issue : 2 Publication Date: 01/05/2023 Page(s): 145-148 |
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