• K.Aparna
• P.Asmitha
• V.Anil Kumar
• B.Dhanumjay
• Ch.Gowri

Email is widely used for all sorts of communication nowadays, from personal to professional. Sensitive information, such as passwords, credit card numbers, and bank account details, are often sent through text message. This makes them desirable targets for cybercriminals looking to steal sensitive data. Emails that seem like they come from a legitimate business or organisation are a common tactic employed by fraudsters to trick their victims into giving over personal information. Phishing refers to the practise of sending an email that seems to come from a reputable company but is really trying to steal personal information. Results from experiments are given that set the stage for the classification challenge and investigate the use of machine learning techniques to identify fraudulent emails.

Spam Detection, Phisihing, Email phishing,Machine Learning.

"EMAIL SPAM DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.a565-a568, March-2023, Available :http://www.jetir.org/papers/JETIR2303070.pdf

"EMAIL SPAM DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppa565-a568, March-2023, Available at : http://www.jetir.org/papers/JETIR2303070.pdf