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Scalable Decentralized Privacy-Preserving Usage-Based Insurance for Vehicles

机译:可扩展的分散隐私保留的车辆保险公司

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摘要

Compared with traditional insurance schemes, usage-based insurance (UBI) for vehicles is more economic and accurate for drivers since its insurance premium calculation depends on how vehicles are driven. However, UBI requires sensitive driving data to determine insurance premiums, and this could result in serious privacy breach for drivers. Meanwhile, existing UBI solutions rely on a centralized entity (i.e., the insurance company) to manage insurances. In this article, we design a decentralized and privacy-preserving UBI scheme, called DUBI, based on the blockchain technology and zero-knowledge proof. In our scheme, a smart contract running over the blockchain serves as a "decentralized" insurance company, while drivers continuously upload their committed driving data to the blockchain. Periodically, the driver submits accumulated driving statistics with a zero-knowledge proof to the smart contract, which verifies the proof and calculates the insurance premium from the submitted statistics. We formulate an ideal functionality for DUBI under the universal composability framework, and then provide a formal security proof for DUBI. Furthermore, we give in-depth analysis and performance evaluation for DUBI with an implementation based on Ethereum. It shows that DUBI is highly efficient in processing UBI insurances in both storage and computation: DUBI is about seven times more efficient than existing schemes in storage, and proof generation and verification take only 7 and 30 ms, respectively.
机译:与传统的保险计划相比,由于其保险费计算取决于车辆的驾驶员,车辆的使用基础保险(UBI)更加经济和准确,从而取决于车辆的驾驶方式。但是,UBI需要敏感的驾驶数据来确定保险费,这可能导致司机的严重隐私违约。与此同时,现有的UBI解决方案依赖于集中式实体(即,保险公司)来管理保险。在本文中,我们根据区块链技术和零知识证明设计了一种名为DUBI的分散和隐私保留UBI方案。在我们的计划中,在区块链中运行的智能合同用作“分散的”保险公司,而司机将其提交的驾驶数据持续上传到区块链。定期上,驾驶员提交累计驾驶统计数据与零知识证明智能合同,验证证明并从提交的统计数据中计算保险费。我们在通用可综合性框架下为DUBI制定了理想的功能,然后为DUBI提供正式的安全证明。此外,我们对DUBI进行了深入的分析和性能评估,基于以外um的实施。它表明,DUBI在储存和计算中加工UBI保险高效:DUBI比现有的储存方案效率大约七倍,并且证明和验证分别只需要7和30毫秒。

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