Modelling call detail records from a mobile telecommunications network

This source preferred by Keith Phalp

Authors: Mintram, R., Anyakoha, C., Vincent, J. and Phalp, K.T.

Start date: 29 August 2007

Data concerning telephone calls is collected by telecom munications operators, typically to support the billing pro cess. However, such records may also be analysed in or der to identify cases of fraudulent usage, which may de pend critically on differentiating normal from abnormal be havioural patterns. Data to support empirical study by the research community within the fraud detection area is hard to acquire, as it contains sensitive information, from both commercial and personal perspectives. Hence, the synthe sis of representative data is a viable way forward, provided reasonable models for telecommunications traffic are avail able. This paper provides such models, based on the be haviour of a sample of 250 subscribers over a 52 week pe riod. This work is partially funded by the EC 6th Frame work IST project Misuse Detection System (IST-026459).

This data was imported from Scopus:

Authors: Mintram, R., Anyakoha, C., Vincent, J. and Phalp, K.

Journal: Proceedings of the 16th IASTED International Conference on Applied Simulation and Modelling, ASM 2007

Pages: 56-61

ISBN: 9780889866874

Data concerning telephone calls is collected by telecommunications operators, typically to support the billing process. However, such records may also be analysed in order to identify cases of fraudulent usage, which may depend critically on differentiating normal from abnormal behavioural patterns. Data to support empirical study by the research community within the fraud detection area is hard to acquire, as it contains sensitive information, from both commercial and personal perspectives. Hence, the synthesis of representative data is a viable way forward, provided reasonable models for telecommunications traffic are available. This paper provides such models, based on the behaviour of a sample of 250 subscribers over a 52 week period.

This data was imported from Web of Science (Lite):

Authors: Mintram, R., Anyakoha, C., Vincent, J. and Phalp, K.

Journal: PROCEEDINGS OF THE 16TH IASTED INTERNATIONAL CONFERENCE ON APPLIED SIMULATION AND MODELLING

Pages: 56-61

ISBN: 978-0-88986-687-4

ISSN: 1021-8181

The data on this page was last updated at 04:57 on July 21, 2018.