Even with the advancement in technologies for providing at most security to users, there is always a glitch in the implementation or the algorithm used, which means compromise on user’s security or rather privacy. Most of the standalone servers do not provide much protection beyond password security and spam control. The paper aims to build a machine learning model that moulds according the user’s e-mail usage pattern ,and hence, no third-party data sets are needed to train the model. As we progress, further, in the paper we focus on building a unsupervised machine learning model to improvise the security of mail server protocols such as SMTP, IMAP, SSH, etc.

Keywords : Mail Server Security, Machine Learning , Security SMTP, IMAP and SSH Protocols.