Paper Details

— The most dangerous online threat now-a-days is the threat in the mailing system. The spam are the threat inthe mailing system which are any unwanted and harmful mail for the security purpose. The spam mails should separatefrom the rest of mails which are useful to the users. This paper surveys different spam filtering techniques. SupportVector Machine (SVM) training problems and need to introduce Map Reduce Hadoop to train SVM. Techniques toseparate spam mails are word based. Content based, machine learning based and hybrid. The machine learningtechniques are most popular because of high accuracy and mathematical support. SVM is used mostly for machinelearning based technique because of its ability to handle data with large attributes, there are also some hurdles in thetraining process of SVM, that can’t be given as input, both of these problem should be solved by implementing thetraining algorithm on map reduce (Hadoop) framework which gives up to 6 times speedup than sequential algorithm.

Pravin Khedkar, Rohit Reshi, “Security in Email Systems using Spam Filtering”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 12, pp. -, December 2017.