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作 者:Abdul Wahid Mounira Msahli Albert Bifet Gerard Memmi
机构地区:[1]Department of Computer Sciences and Networks(INFRES),LTCI,Telecom Paris,Institut Polytechnique de Paris,Palaiseau,91120,France [2]Artificial Intelligence Institute,The University of Waikato,Private Bag 3105,3240,Hamilton,New Zealand
出 处:《Digital Communications and Networks》2024年第1期158-167,共10页数字通信与网络(英文版)
基 金:This research work has been conducted in cooperation with members of DETSI project supported by BPI France and Pays de Loire and Auvergne Rhone Alpes.
摘 要:The proliferation of internet communication channels has increased telecom fraud,causing billions of euros in losses for customers and the industry each year.Fraudsters constantly find new ways to engage in illegal activity on the network.To reduce these losses,a new fraud detection approach is required.Telecom fraud detection involves identifying a small number of fraudulent calls from a vast amount of call traffic.Developing an effective strategy to combat fraud has become challenging.Although much effort has been made to detect fraud,most existing methods are designed for batch processing,not real-time detection.To solve this problem,we propose an online fraud detection model using a Neural Factorization Autoencoder(NFA),which analyzes customer calling patterns to detect fraudulent calls.The model employs Neural Factorization Machines(NFM)and an Autoencoder(AE)to model calling patterns and a memory module to adapt to changing customer behaviour.We evaluate our approach on a large dataset of real-world call detail records and compare it with several state-of-the-art methods.Our results show that our approach outperforms the baselines,with an AUC of 91.06%,a TPR of 91.89%,an FPR of 14.76%,and an F1-score of 95.45%.These results demonstrate the effectiveness of our approach in detecting fraud in real-time and suggest that it can be a valuable tool for preventing fraud in telecommunications networks.
关 键 词:Telecom industry Streaming anomaly detection Fraud analysis Factorization machine Real-time system Security
分 类 号:TN762[电子电信—电路与系统]
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