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SCAMSTOP: A Platform for Mitigating Fraud in VoIP Environments
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Author(s): Yacine Rebahi (Fraunhofer Fokus, Germany), Reinhard Ruppelt (Fraunhofer Fokus, Germany), Mohamed Nassar (INRIA Research Center Nancy – Grand Est, France)and Olivier Festor (INRIA Research Center Nancy – Grand Est, France)
Copyright: 2013
Pages: 24
Source title:
Network and Traffic Engineering in Emerging Distributed Computing Applications
Source Author(s)/Editor(s): Jemal H. Abawajy (Deakin University, Australia), Mukaddim Pathan (Australian National University, Australia), Mustafizur Rahman (The University of Melbourne, Australia), Al-Sakib Khan Pathan (International Islamic University Malaysia (IIUM), Malaysia)and Mustafa Mat Deris (Universiti Tun Hussein Onn (UTHM), Malaysia)
DOI: 10.4018/978-1-4666-1888-6.ch012
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Abstract
In traditional telecommunication networks, fraud accounts for significant annual losses at an average up of 5% of the operators’ revenue and still increasing. The current shift towards Voice-over-IP (VoIP) networks increases to exposure to fraud due to the lack of strong built-in security mechanisms and the full usage of the open Internet. In this book chapter, the authors discuss an anti-fraud framework they are currently developing within the SCAMSTOP project. Although a short description of the framework is provided, the focus of this chapter is mainly on the methods used to detect fraudulent activity. In particular the authors focus on unsupervised methods including signature and clustering based techniques. Preliminary testing results are also discussed.
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