Detecting Targeted Malicious Email

Social Networking and communication are playing an important role in the internet world. The purpose of the social networks are used to share information using SMTP. Network Providers are the one which allows all types of emails for communication. While transferring the messages some malicious emails are received by the users this causes many problems either at the server side or at the client side. This type of messages may contain viruses, or it could be due to the message being crafted. In phishing attacks, the attached document augments the social engineering aspect of the attack. In some attacks, the document contains the complete malware payload the attacker wishes to deploy, while in others, the document only has enough code to download additional malware components. Although exploitation of the reader program can result in the viewer program hanging or crashing, potentially alerting the user of a problem, sometimes such faults remain hidden from the end-user because the reader program is used as plug-in in a larger program, such as Internet browsers. In order to solve the problem, we are using a Bayesian spam filtering, Email filtering. This machine gives the accurate results when compared to the existing one. There are three steps to examine first one is to detect the malicious email second step is apply classifier to classify according to the emails received and send to trash automatically and delete directly. Using new detection and filtering techniques starts the detection of phishing and spam emails. Every mail verifies with probability distribution characteristics. Once all the characteristics are satisfied in Meta data structure then to allow in inbox. In inbox all the mails are placed here only trust worthy mails of content. Meta data structure follows some data mining techniques. In total number of mails after performing the preprocessing operation then to apply here classification techniques. Classification gives the results like recipient and persistent mails. We are planning to use different techniques to know the difference in performance.