B-FICA: BlockChain based Framework for Auto-Insurance Claim and Adjudication
Open accessAbstract
In this paper, we propose a partitioned BlockChain based Framework for Auto-insurance Claims and Adjudication (B-FICA) for CAVs that tracks both sensor data and entity interactions with two-sided verification. B-FICA uses permissioned BC with two partitions to share information on a need to know basis. It also uses multi-signed transactions for proof of execution of instructions, for reliability and auditability and also uses a dynamic lightweight consensus and validation protocol to prevent evidence alteration. Qualitative evaluation shows that B-FICA is resilient to several security attacks from potential liable entities. Finally, simulations show that compared to the state of the art, B-FI CA reduces processing time and its delay overhead is negligible for practical scenarios and at marginal security cost.
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Privacy-Preserving Solutions for Blockchain: Review and Challenges
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“[218] C. Oham, R. Jurdak, S. S. Kanhere, A. Dorri, and S. Jha, ‘‘B-FICA: Blockchain based framework for auto-insurance claim and adjudication,’’ inProc.”
BackgroundInfluential
- Authors
- Oham, C., Jurdak, R., Kanhere, S. S., Dorri, A., & Jha, S.
- Affiliations
- Commonwealth Scientific and Industrial Research Organisation (AU)
- UNSW Sydney (AU)
- Venue
- 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
- Publisher
- IEEE
- Published
- 2018-07
- Pages
- 1171-1180
- OpenAlex
- W2808595109
- Cited by
- 70
- References
- 13
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 5 · 2023: 9 · 2022: 18 · 2021: 17 · 2020: 9 · 2019: 7 · 2018: 1
- FWCI
- 6.67
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Commonwealth Scientific and Industrial Research Organisation
- University of New South Wales
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, auto insurance claims, connected and autonomous vehicles, permissioned blockchain, dynamic consensus, sensor data integrity, security attacks, auditability
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