Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/17238

TitleApplying user signatures on fraud detection in telecommunications networks
Author(s)Lopes, João
Belo, Orlando
Vieira, Carlos
KeywordsTelecommunications
Fraud detection and prevention
Pro- filing over telecommunication systems
Data mining
Signatures based methods
Fraud detection applications
Issue date2011
PublisherSpringer
JournalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract(s)Fraud in telecommunications is increasing dramatically with the expansion of modern technology, resulting in the loss of billions of dol- lars worldwide each year. Although prevention technologies are the best way to reduce fraud,. Fraudsters are adaptive, searching systematically for new ways to commit fraud and, in most of the cases, will usually find some way to circumvent companies prevention measures. In this paper we expose some of the ways in which fraud is being used against organi- zations, evaluating the limitations of existing strategies and methods to detect and prevent it in todays telecommunications companies. Addition- ally, we expose a data mining profiling technique based on signatures that was developed for a real mobile telecommunications network operator and integrated into one of its Fraud Management Systems (FMS), currently under operation.
TypeConference paper
URIhttp://hdl.handle.net/1822/17238
ISBN978-3-642-23183-4
DOI10.1007/978-3-642-23184-1_22
ISSN0302-9743
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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