Spam filtering using automated classifying services over a cloud computing infrastructure

Abstract

Together with the increase in size of Internet technologies and coped with the need for instant communication between people, unsolicited messages or spam messages represent a serious problem for most system administrators and users. This problem permits the usage of various technologies and techniques in order to solve it and filter volumes of thousands of email messages per day. In this article we present a new solution for spam detection and classification, based on a Cloud supported infrastructure of a service oriented architecture. Our implementation is able to scan and classify a large stream of emails. We also prove that the architecture is scalable across multiple datacenter nodes and it is able to handle a continuous flux of emails, keeping users configuration a top priority.