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A Survey on Image Spam Detection Techniques

Authors

Shadi Khawandi, Firas Abdallah and Anis Ismail, Lebanese University, Lebanon

Abstract

Today very important means of communication is the e-mail that allows people all over the world to communicate, share data, and perform business. Yet there is nothing worse than an inbox full of spam; i.e., information crafted to be delivered to a large number of recipients against their wishes. In this paper, we present a numerous anti-spam methods and solutions that have been proposed and deployed, but they are not effective because most mail servers rely on blacklists and rules engine leaving a big part on the user to identify the spam, while others rely on filters that might carry high false positive rate.

Keywords

E-mail, Spam, anti-spam, mail server, filter.

Full Text  Volume 9, Number 1