Machine Learning Models for Email Spam Detection: A Review

Email users often face an issue of number of spam emails coming from unfamiliar senders in their mailboxes daily. Spamming is also triggering online cyber fraud based on social engineering. Most of these frauds starts via an email from an unauthentic origin in which a URL is comprised and show compromised one's personal data after its opening. The email spam can be detected in numerous stages such to pre-process the data, extract the attributes and classify the emails. Researchers have constructed several ML (Machine Learning) algorithms in order to detect the email spam. This paper conducts a review on diverse methods used to detect the email spam.