将区块链用于物联网数据市场的货币化

Wiem Badreddine, Kaiwen Zhang, C. Talhi
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引用次数: 11

摘要

物联网设备的数量正在急剧增长,产生了大量的数据,这些数据正在成为数据分析师的宝贵资产。这一趋势最终导致了物联网数据市场的创建,在这个市场中,来自异构来源的数据流被实时发送给各种数据消费者,并为货币化目的进行计量。发布/订阅系统,如消息队列遥测传输(MQTT),是一种很有前途的解决方案,可以以解耦和大规模的方式充当实时数据流的传输层。然而,发布/订阅系统缺乏物联网数据市场的两个关键属性:(1)它不提供任何货币化逻辑;(2)它假设pub/sub代理是受信任的实体,而在分散或联合的市场环境中并非如此。在本文中,我们使用基于分布式账本技术(DLT)和智能合约的可靠透明货币化系统来解决这些问题。我们提出了三种货币化解决方案,并展示了在区块链上跟踪物联网数据的开销与数据生产者和消费者货币化的准确性之间的权衡。特别是,我们提供了一个基于Bloom过滤器的解决方案,用于有效验证数据交换。我们使用以太坊和Solidity来实现我们的系统,并对合同gas成本进行评估。
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Monetization using Blockchains for IoT Data Marketplace
The number of Internet of Things devices is growing dramatically, generating a huge amount of data which is becoming a valuable asset for data analysts. This trend culminates towards the creation of an IoT data marketplace, where streams of data from heterogeneous sources are sent in real time to various data consumers and are metered for monetization purposes. Publish/subscribe systems, such as Message Queuing Telemetry Transport (MQTT), are a promising solution to act as a transport layer for real-time data streams in a decoupled and large scale manner. However, pub/sub systems lack two key properties for an IoT data marketplace: (1) it does not provide any monetization logic; (2) it assumes that the pub/sub brokers are trusted entities, which is not the case in a decentralized or federated marketplace setting. In this paper, we address these issues using a reliable and transparent monetization system based on Distributed Ledger Technology (DLT) and smart contracts. We propose three monetization solutions and demonstrate the trade-off between the overhead of tracking IoT data on a blockchain vs. the accuracy of the monetization for data producers and consumers. In particular, we provide a Bloom filter-based solution for efficient verification of data exchange. We implement our system using Ethereum and Solidity and evaluate with respect to contract gas cost.
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