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Systematic Tracking of Insurance Fraud Detection
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Author(s): N. Ambika (St. Francis College, India)
Copyright: 2024
Pages: 9
Source title:
Advances in Explainable AI Applications for Smart Cities
Source Author(s)/Editor(s): Mangesh M. Ghonge (Sandip Institute of Technology and Research Centre, India), Nijalingappa Pradeep (Bapuji Institute of Engineering and Technology, India), Noor Zaman Jhanjhi (School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Malaysia)and Praveen M. Kulkarni (Karnatak Law Society's Institute of Management Education and Research (KLS IMER), Belagavi, India)
DOI: 10.4018/978-1-6684-6361-1.ch004
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Abstract
The work prevents the creation of duplicate insurance policies, and a validation procedure must be carried out. It determines whether an insurance policy is still in effect by identifying a vehicle and a person using these data. An intelligent contract also provides validation for the creation of claims. It operates on a vehicle's plate number, and it is possible to determine the number of insurance policies it held in the past or the number of shares it submitted because insurance companies routinely add information about each incident to the blockchain. The proposal uses a systematic methodology, tracking every activity from the start. It validates the insurance data better by 6.96% compared to previous work.
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