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A Blockchain and IPFS-Based Anticounterfeit Traceable Functionality of Car Insurance Claims System.
Chen, Chin-Ling; Zheng, Ying-Ming; Huang, Der-Chen; Liu, Ling-Chun; Chen, Hsing-Chung.
Afiliação
  • Chen CL; School of Information Engineering, Changchun Sci-Tech University, Changchun 130600, China.
  • Zheng YM; Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan.
  • Huang DC; Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan.
  • Liu LC; Department of Computer Science and Engineering, National Chung-Hsing University, Taichung 402202, Taiwan.
  • Chen HC; Department of Computer Science and Engineering, National Chung-Hsing University, Taichung 402202, Taiwan.
Sensors (Basel) ; 23(23)2023 Dec 02.
Article em En | MEDLINE | ID: mdl-38067952
Due to frequent traffic accidents around the world, people often take out car insurance to mitigate their losses and receive compensation in a traffic accident. However, in the existing car insurance claims process, there are problems such as insurance fraud, inability to effectively track and transmit insurance data, cumbersome insurance procedures, and high insurance data storage costs. Since the immutability and traceability features of blockchain technology can prevent data manipulation and trace past data, we have used the Elliptic Curve Digital Signature Algorithm (ECDSA) to sign and encrypt car insurance data, ensuring both data integrity and security. We propose a blockchain and IPFS-based anticounterfeiting and traceable car insurance claims system to improve the above problems. We incorporate the Interplanetary File System (IPFS) to reduce the cost of storing insurance data. This study also attempts to propose an arbitration mechanism in the event of a car insurance dispute.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China