Study on the Effectiveness of Spam Detection Technologies

Nowadays, spam has become serious issue for\udcomputer security, because it becomes a main source for\uddisseminating threats, including viruses, worms and\udphishing attacks. Currently, a large volume of received\udemails are spam. Different approaches to combating these\udunwanted messages, including challenge response model,\udwhitelisting, blacklisting, email signatures and different\udmachine learning methods, are in place to deal with this\udissue. These solutions are available for end users but due\udto dynamic nature of Web, there is no 100% secure\udsystems around the world which can handle this problem.\udIn most of the cases spam detectors use machine learning\udtechniques to filter web traffic. This work focuses on\udsystematically analyzing the strength and weakness of\udcurrent technologies for spam detection and taxonomy of\udknown approaches is introduced