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Privacy Preservation of Insurance Data Sharing Across Permissioned Blockchains

  • Harshini Kannoori,
  • P. Balaraju,
  • C. Harika,
  • Susmita Mandal

摘要

With the rise of blockchain as a more promising technology, industries and academia are interested to foresee a decentralized and transparent ecosystem of data storing, sharing, and verifying across platforms. The current state-of-the-art blockchain platforms mostly work in isolation with a high level of diversity due to architecture, security, and efficiency, thus making interoperability difficult. An optimistic approach can be through cross-chain technology that has the ability to transfer data and assets between different blockchains. Recently, security concerns related to cross-chain data exchange have gained a lot of attention. This paper is a work in two folds. First, we analyze and test the issue of oversharing of sensitive data across a permissioned platform, such as the Hyperledger Fabric (HLF) platform. Second, a smart contract-driven novel approach of authorizing the insurance claimant while preserving sensitive information is designed using Non-Interactive Zero Knowledge Proof (NIZKP). This prevents unauthorized data sharing or misuse in the ecosystem. Finally, the results of the solution are presented with security analysis.