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Cost-Effective Blockchain-based IoT Data Marketplaces with a Credit Invariant

机译:具有成本效益的基于区块链的IOT数据市场,具有信用不变

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Billions of Internet of Things (IoT) devices deployed today collect massive amounts of potentially valuable data. To efficiently utilize this data, markets must be developed where data can be traded in real time. Blockchain technology offers a potential platform for these types of markets. However, previous proposals using blockchain technology either require trusted third parties such as data brokers, or necessitate a large number of on-chain transactions to operate, incurring excessive overhead costs. This paper proposes a trustless data trading system that minimizes both the risk of fraud and the number of transactions performed on chain. In this system, data producers and consumers come to binding agreements while trading data off chain and they only settle on chain when a deposit or withdrawal of funds is required. A credit mechanism is also developed to further reduce the incurred fees. Additionally, the proposed marketplace is benchmarked on a private Ethereum network running on a lab-scale testbed and the proposed credit system is simulated so to analyze its risks and benefits.
机译:数十亿互联网(IoT)今天部署的设备收集了大量的潜在有价值的数据。为了有效地利用此数据,必须开发市场,其中数据可以实时交易。 BlockChain技术为这些类型的市场提供了潜在的平台。然而,以前使用区块链技术的提议要么需要受信任的第三方,如数据经纪人,或者需要大量的连锁交易来运行,导致过度的开销成本。本文提出了无数的数据交易系统,可最大限度地减少欺诈风险以及在链中执行的交易数量。在该系统中,数据生产商和消费者在交易数据关掉链中达成约束力协议,并且当需要存款或撤回资金时,他们只定居在连锁子上。还开发了一种信用机制,以进一步减少所发生的费用。此外,拟议的市场在实验室规模的私人国内网络上基准测试,建议的信用体系进行了模拟,以分析其风险和福利。

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