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.
Highlights
Spam is the use of electronic messaging systems to send unsolicited bulk messages indiscriminately [1]
E-mail spam, known as junk e-mail or unsolicited bulk e-mail (UBE), is a subset of spam that involves nearly identical messages sent to numerous recipients by e-mail [2]
Classification of Spam Filtering Methods Depending on Theoretical Approaches
Summary
Spam is the use of electronic messaging systems (including most broadcast media, digital delivery systems) to send unsolicited bulk messages indiscriminately [1]. In this article it is considered the e-mail spam. Day by day the amount of incoming spam increase and, scammer attacks are becoming targeted and more of a threat. The amount of spam sent from European countries will increase to 40% - 45% of all spam [3]. That spam is a big problem for today and for tomorrow and it makes sense to investigate new effective methods against spam
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