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

Author:

Chen Chin-Ling12ORCID,Zheng Ying-Ming2,Huang Der-Chen3,Liu Ling-Chun3,Chen Hsing-Chung45

Affiliation:

1. School of Information Engineering, Changchun Sci-Tech University, Changchun 130600, China

2. Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan

3. Department of Computer Science and Engineering, National Chung-Hsing University, Taichung 402202, Taiwan

4. Department of Computer Science and Information Engineering, Asia University, Taichung 413305, Taiwan

5. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404328, Taiwan

Abstract

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.

Funder

National Science and Technology Council, Taiwan

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference27 articles.

1. (2022, November 05). SDG Target 3.6 Road Traffic Injuries. Available online: https://www.who.int/data/gho/data/themes/topics/sdg-target-3_6-road-traffic-injuries.

2. Stewart, T. (2022). Overview of Motor Vehicle Crashes in 2020 (Report No. DOT HS 813 266).

3. CSY (2020). China Statistical Yearbook, China Statistical Publishing House.

4. European Commission (2022). Annual Statistical Report on Road Safety in the EU, 2021, European Road Safety Observatory, European Commission, Directorate General for Transport.

5. Office, I.S. (2017). The Challenge of Auto Insurance Premium Leakage, Verisk Analytics, Inc.

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