Authors :
Swati S Maddur, Richul N Prasad, P Jyothi Priya, Pruthvi Sainath Reddy, Dr. Sumithra Devi K.A
Volume/Issue :
Volume 5 - 2020, Issue 2 - February
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/2Vo50RV
Abstract :
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.
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.
