Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Signature-Based Methods for Data Streams
Data Mining and Knowledge Discovery
Establishing fraud detection patterns based on signatures
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
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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 work is partially funded by the EC 6th Framework IST project Misuse Detection System (IST-026459). Data was provided by Polska Telefonia Cyfrowa.