Detecting of targeted malicious email

Network providers are the one which allows all type of emails for communication purpose. While transferring the messages some malicious emails are received by the users this causes many problems either at the server side or at the user side. This type of emails may contain unsolicited content, or it could be due to the message being crafted. Persistent threat features, such as threat actor locale and unsolicited email crafting tools, along with recipient oriented features. Current detection techniques work well for spam and phishing because its easy to detect mass-generated email sent to millions of addresses. TME mainly targets single users or small groups in low volumes. TME can pretend network exploitation. Hence for detection of TME is vital work. This paper explains how the malicious emails are classified. In order to classify here we are using `Random Forest Classifier´. This classifier focuses on feature extraction.