Network Behavioural Analysis and Claim Pattern Recognition: AI-Based Computational Strategies for Insurance Fraud Prevention

Authors

  • Aliaksandr Pinchuk Professor of Computer Science, Belarusian State University of Informatics and Radioelectronics

Keywords:

network behavioural analysis, claim pattern recognition, computational strategies, insurance fraud prevention, machine learning

Abstract

Take the increasing number of claims made by the use of social media; paying benefits due to non-verifiable claims and the numbers used by organized crime to commit insurance fraud. All the processes described above represent surprise factors related to the underwriting result of an insurance company. Hence the importance that the insurance business gives to fraud prevention and detection strategies.

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Published

31-12-2025

How to Cite

[1]
“Network Behavioural Analysis and Claim Pattern Recognition: AI-Based Computational Strategies for Insurance Fraud Prevention”, IoT and Edge Comp. J, vol. 5, no. 2, pp. 31–39, Dec. 2025, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/iotecj/article/view/749