Journal ArticleDOI
Survey on Spam Filtering Techniques and Mapreduce
Reads0
Chats0
TLDR
This paper surveys different spam email filtering techniques and Machine learning based, list based, content based and hybrid or other is used because of high accuracy and mathematical support.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. Keywords—Spam filtering techniques, Machine learning based ,content based, word based.read more
References
More filters
Journal ArticleDOI
An ontology enhanced parallel SVM for scalable spam filter training
TL;DR: Experimental results show that ontology based augmentation improves the accuracy level of the parallel SVM beyond the original sequential counterpart.
Proceedings ArticleDOI
Application of sim-hash algorithm and big data analysis in spam email detection system
TL;DR: A novel similarity-based method is proposed that implements the fingerprinting technique on parallel processing framework and meet-in-the-middle approach is used in this method to achieve a higher accuracy in the spam email detection system.