Survey on Spam Filtering Techniques

Abstract

In the recent years spam became as a big problem of Internet and electronic communication. There developed a lot of techniques to fight them. In this paper the overview of existing e-mail spam filtering methods is given. The classification, evaluation, and comparison of traditional and learning-based methods are provided. Some personal anti-spam products are tested and compared. The statement for new approach in spam filtering technique is considered.

An Efficient Spam Filtering using Supervised Machine Learning Techniques

“…The statement for new approach in spam filtering technique is considered. [8]. As we are working on the approach that gives better result than other approaches to identify spam mail we need danger theory and dendritic cell algorithm.…”

Email Classification Using Machine Learning Algorithms

“…An overview of existing spam filtering techniques is given. Learning based algorithms proved to exceed traditional ones because of number of qualities [12].…”

Security in Email Systems Using Spam Filtering

“…The Map Reduce framework is most popularly used in the research fields like Mars, Phoenix, and Hadoop etc. Amongst above implementations Hadoop is mostly used in research field because of it 1 Terabyte sort achievement and support [2]. The Map Reduce programming paradigm has the massive scalability of carrying hundreds and thousands of nodes in a Map Reduce cluster.…”