A genetic programming approach to telecommunications fraud detection and classification
dc.conference.information | Venice, Italy, March 2014 | el |
dc.conference.name | Proceedings of International Conference on Circuits, Systems, Signal Processing, Communications and Computers | el |
dc.contributor.author | Hilas, Constantinos S. | |
dc.contributor.author | Kazarlis, Spyridon A. | |
dc.contributor.author | Rekanos, Ioannis T. | |
dc.contributor.author | Mastorocostas, Paris A. | |
dc.date.accessioned | 2015-06-27T12:53:24Z | |
dc.date.accessioned | 2024-09-27T18:12:15Z | |
dc.date.available | 2015-06-27T12:53:24Z | |
dc.date.available | 2024-09-27T18:12:15Z | |
dc.date.issued | 2014-03 | |
dc.description.abstract | 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. | en |
dc.format.extent | 7 | el |
dc.identifier.other | http://www.researchgate.net/profile/Constantinos_Hilas/publication/261191177_A_Genetic_Programming_Approach_to_Telecommunications_Fraud_Detection_and_Classification/links/0046353441f851ac2a000000.pdf | el |
dc.identifier.uri | https://repository2024.ihu.gr/handle/123456789/1538 | |
dc.language.iso | en | el |
dc.publication.category | Αντίγραφο του συγγραφέα (Author's copy) | el |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.keyword | Fraud detection | el |
dc.subject.keyword | Genetic programming | el |
dc.subject.keyword | User profiles | el |
dc.subject.keyword | Feature selection | el |
dc.subject.keyword | Telecommunications | el |
dc.title | A genetic programming approach to telecommunications fraud detection and classification | en |
dc.type | Άρθρο σε επιστημονικό συνέδριο | el |
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