Survey on Spam Filtering Techniques and Mapreduce

Survey on Spam Filtering Techniques and Mapreduce

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2015 by IJETT Journal
Volume-30 Number-9
Year of Publication : 2015
Authors : Prajakta S. Patil, Prof. Rashmi A. Rane, Prof. Madhuri A. Bhalekar
DOI :  10.14445/22315381/IJETT-V30P283

Citation 

Prajakta S. Patil, Prof. Rashmi A. Rane, Prof. Madhuri A. Bhalekar"Survey on Spam Filtering Techniques and Mapreduce", International Journal of Engineering Trends and Technology (IJETT), V30(9),444-447 December 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Spam Email, also known as junk email , is a subset of electronic spam involving nearly identical messages sent to numerous recipients by email. The messages may contain disguised links that appear to be for familiar websites but in fact lead to phishing web sites or sites that are hosting malware. Spam email may also include malware as scripts or other executable file attachments. Spam is any unwanted and harmful mail. Separation of spam from normal mails is essential. This paper surveys different spam email filtering techniques. The different techniques are Machine learning based, list based, content based and hybrid or other. Machine learning based, is mostly used because of high accuracy and mathematical support.

 References

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Keywords
Spam filtering techniques, Machine learning based ,content based, word based.