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.
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Acknowledgment
This paper has been financially supported within the project entitled “Horizon 2020 - Doctoral and Postdoctoral Studies: Promoting the National interest through Excellence, Competitiveness and Responsibility in the Field of Romanian Fundamental and Applied Scientific Research”, contract number POSDRU/159/1.5/S/140106. This project is co-financed by European Social Fund through the Sectoral Operational Programme for Human Resources Development 2007–2013. Investing in people!
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Pătraşcu, A., Bica, I., Patriciu, V.V. (2015). Spam Filtering Using Automated Classifying Services over a Cloud Computing Infrastructure. In: Bica, I., Naccache, D., Simion, E. (eds) Innovative Security Solutions for Information Technology and Communications. SECITC 2015. Lecture Notes in Computer Science(), vol 9522. Springer, Cham. https://doi.org/10.1007/978-3-319-27179-8_16
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DOI: https://doi.org/10.1007/978-3-319-27179-8_16
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