Spam Detection System Using Hidden Markov Model

TLDR: An image spam detection system that uses detect spam words to detect stemming words of spam images and then use Hidden Markov Model of spam filters to detect all the spam images.

Abstract: Spams are the textual context of the system which can damage our system. E-mail is an essential communication tool that has been greatly abused by spam sender to disseminate unwanted information and spread malicious contents to Internet users. Spam filters provide better protective mechanisms that are able to design a system to recognize the spams. We propose an image spam detection system that uses detect spam words. We rely on filtering methods to detect stemming words of spam images and then use Hidden Markov Model of spam filters to detect all the spam images. In the first section of the paper analysis the Introduction of Spam. In the second section of the paper described the related work. In the third section analyzed the problem formulation. In the fourth section described spam detection techniques, different steps for spam detection. In the fifth section described methodology of spam detection and then the different spam feature extraction. Finally present the Conclusion & future works with the references.