A genetic programming approach to telecommunications fraud detection and classification
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Ημερομηνία
2014-03
Τίτλος Εφημερίδας
Περιοδικό ISSN
Τίτλος τόμου
Εκδότης
Δικαιώματα
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Άδειες
Παραπομπή
Παραπομπή
Περίληψη
Telecommunications fraud has drawn the researchers’
attention due to the huge economic burden on companies and to the
interesting aspect of users’ behavior modeling. In the present paper,
an application of genetic programming to fraud detection is
presented. Genetic programming is used for case classification in
order to distinguish between normal and fraudulent activities in a
telecommunications network. Implications to appropriate user
behavior modeling are, also, discussed. Real world cases of
defrauded user accounts are modeled by means of selected usage
features and comparisons with other approaches are made.