A Blockchain and IPFS-Based Anticounterfeit Traceable Functionality of Car Insurance Claims System

被引:2
作者
Chen, Chin-Ling [1 ,2 ]
Zheng, Ying-Ming [2 ]
Huang, Der-Chen [3 ]
Liu, Ling-Chun [3 ]
Chen, Hsing-Chung [4 ,5 ]
机构
[1] Changchun Sci Tech Univ, Sch Informat Engn, Changchun 130600, Peoples R China
[2] Chaoyang Univ Technol, Dept Comp Sci & Informat Engn, Taichung 41349, Taiwan
[3] Natl Chung Hsing Univ, Dept Comp Sci & Engn, Taichung 402202, Taiwan
[4] Asia Univ, Dept Comp Sci & Informat Engn, Taichung 413305, Taiwan
[5] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung 404328, Taiwan
关键词
blockchain; car insurance; Interplanetary File System (IPFS); Hyperledger Fabric; Elliptic Curve Digital Signature Algorithm (ECDSA); smart contract;
D O I
10.3390/s23239577
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:22
相关论文
共 27 条
  • [1] Blockchain-Based Processing of Health Insurance Claims for Prescription Drugs
    Alnuaimi, Aysha
    Alshehhi, Amna
    Salah, Khaled
    Jayaraman, Raja
    Omar, Ilhaam A.
    Battah, Ammar
    [J]. IEEE ACCESS, 2022, 10 : 118093 - 118107
  • [2] [Anonymous], HyperLedger Fabric Docs
  • [3] [Anonymous], SDG Target 3.6 Road Traffic Injuries
  • [4] A review on blockchain applications in the agri-food sector
    Antonucci, Francesca
    Figorilli, Simone
    Costa, Corrado
    Pallottino, Federico
    Raso, Luciano
    Menesatti, Paolo
    [J]. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2019, 99 (14) : 6129 - 6138
  • [5] Insurance fraud detection: Evidence from artificial intelligence and machine learning
    Aslam, Faheem
    Hunjra, Ahmed Imran
    Ftiti, Zied
    Louhichi, Wael
    Shams, Tahira
    [J]. RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2022, 62
  • [6] Benet J.., 2014, arXiv
  • [7] CSY, 2020, China Statistics Yearbook
  • [8] A Secure AI-Driven Architecture for Automated Insurance Systems: Fraud Detection and Risk Measurement
    Dhieb, Najmeddine
    Ghazzai, Hakim
    Besbes, Hichem
    Massoud, Yehia
    [J]. IEEE ACCESS, 2020, 8 (08): : 58546 - 58558
  • [9] European Commission, 2022, Annual Statistical Report on Road Safety in the EU, 2021
  • [10] Online insurance claims: when more than trust matters
    Gebert-Persson, Sabine
    Gidhagen, Mikael
    Sallis, James E.
    Lundberg, Helene
    [J]. INTERNATIONAL JOURNAL OF BANK MARKETING, 2019, 37 (02) : 579 - 594