A probabilistic approach to fraud detection in telecommunications

作者：Olszewski Dominik^*

来源：Knowledge-Based Systems, 2012, 26: 246-258.

DOI：10.1016/j.knosys.2011.08.018

• Kullback-Leibler divergence
• Latent Dirichlet Allocation
• Fraud detection
• User profiling
• Telecommunications

In this paper, a method for telecommunications fraud detection is proposed. The method is based on the user profiling utilizing the Latent Dirichlet Allocation (LDA). Fraudulent behavior is detected with use of a threshold-type classification algorithm, allocating the telecommunication accounts into one of two classes: fraudulent account and non-fraudulent account. The paper provides also a method for automatic threshold computation. The accounts are classified with use of the Kullback-Leibler divergence (KL-divergence). Therefore, we also introduce three methods for approximating the KL-divergence between two LDAs. Finally, the results of experimental study on KL-divergence approximation and fraud detection in telecommunications are reported.

• 出版日期2012-2