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  • Peter Burge, Dimitris Potoglou, Chong Woo, Kim, Stephane Hess, W O R K I N G P A P +1 other
  • 2010
This product is part of the RAND Europe working paper series. RAND working papers are intended to share researchers' latest findings and to solicit informal peer review. They have been approved for circulation by RAND Europe but have not been formally edited or peer reviewed. Unless otherwise indicated, working papers can be quoted and cited without(More)
This paper discusses the status of research on detection of fraud undertaken as part of the European Commission-funded ACTS ASPeCT (Advanced Security for Personal Communications Technologies) project. A first task has been the identification of possible fraud scenarios and of typical fraud indicators which can be mapped to data in toll tickets. Currently,(More)
Agility skill is important in Australian Rules football (ARF) as it enables an attacking player to successfully evade an opponent. To date, no research has examined offensive agility techniques in ARF. There were two purposes of this study: first, to compare the change of direction (COD) speed of three offensive agility techniques, and second, compare the(More)
This paper discusses the current status of research on fraud detection undertaken as part of the European Commission-funded ACTS ASPeCT (Advanced Security for Personal Communications Technologies) project, by Royal Holloway University of London. Using a recurrent neural network technique, we uniformly distribute prototypes over toll tickets, sampled from(More)
Fraud is costing the mobile communications industry millions of pounds a year. A rapid solution is needed to reduce fraudulent activity in analogue networks and preventative measures are required to protect GSM and later UMTS. A joint European project`Advanced Security for Personal Communications Tech-nologies' (ASPeCT), part of the ACTS programme 1 , has(More)
During the course of the European project Advanced Security for Personal Communication Technologies" ASPeCT, we h a ve developed some rule-based and neural network architectures as a number of diierent fraud detection tools for GSM networks. We h a ve n o w i n tegrated these diierent techniques int o a h ybrid detection tool. We optimized the performance(More)
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  • Neil Robinson, Dimitris Potoglou, Chong Woo Kim, Peter Burge, Richard Warnes
  • 2010
(s) contained herein are protected by law as indicated in a notice appearing later in this work. This electronic representation of RAND intellectual property is provided for non-commercial use only. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. Permission is required from RAND to(More)