Blockchain Enabled Data Trading with User Consent

Banerjee, Prabal; Muthaiah, Amudhan; Ruj, Sushmita

doi:10.1109/comsnets51098.2021.9352817

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…These contracts autonomously execute predefined operations once specific conditions are met, facilitated by consensus nodes within the network. Miners [48], specialized nodes in the network, verification transactions and append them to blocks [49]. Transaction fees are determined by the number of operations, with execution costs paid in Gas, an internal Ether currency.…”

Section: Ethereum Blockchain and Smart Contractsmentioning

confidence: 99%

Blockchain-based decentralized storage scheme with verifiable fair payment for smart cities

Zhou,

Zhang

2024

Preprint

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In smart cities, Internet of Things (IoT) technology can enable intelligence in various fields such as urban transportation, energy, environment, and security. While a large number of terminals collect data to bring efficiency and convenience, the problem of data security is becoming increasingly severe. Although existing centralized cloud services can provide powerful computing and storage resources, they also present risks such as data congestion, single points of failure, and privacy leakage. In order to address the above challenges, this paper proposes a blockchain-based decentralized storage management scheme for IoT data in smart cities scenario to improve data storage security. The scheme uses a non-interactive verification mechanism, combined with smart contracts, to realize automatic data verification. Set rewards and penalties to ensure fairness in IoT data storage transactions. The security analysis shows that the data verification mechanism proposed in this paper can effectively mitigate multiple attacks. We deploy smart contracts on the Ethereum platform and conduct experimental evaluations, then write smart contracts on the chain and test the Gas consumption of the contracts. We also evaluate the time efficiency of the algorithms off the chain, and the experimental results prove the practicality of the proposed scheme.

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Section: Ethereum Blockchain and Smart Contractsmentioning

confidence: 99%

Blockchain-based decentralized storage scheme with verifiable fair payment for smart cities

Zhou,

Zhang

2024

Preprint

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“…Agreements for data consumption come in many different forms, such as service level agreements (SLA's) [67], legal contracts [7] or they are expressed in specifically designed policy description languages [32]. Sometimes, they are simply recorded, in which case enforcement is the responsibility of individual data providers and consumers who can try to call on legal enforcement if all else fails [140]. In other cases, the data market might provide a method for enforcing policies internally or resolving disputes that arise [115], [141].…”

Section: Usage Policy Managementmentioning

confidence: 99%

Data Market Design: A Systematic Literature Review

2022

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Data markets are platforms that provide the necessary infrastructure and services to facilitate the exchange of data products between data providers and data consumers from different environments. Over the last decade, many data markets have sprung up, capitalising on the increased appreciation of the value of data and catering to different domains. In this work, we analyse the existing body of scientific literature on data markets to provide the first comprehensive overview of research into the design of data markets, regardless of scientific background or application domain. In doing so, we contribute to the field in several ways: 1) We present an overview of the state of the art in academic research on data markets and compare this with existing market trends to identify potential gaps. 2) We identify important application domains and contexts where data markets are being put into practice. 3) Finally, we provide taxonomies of both design problems for data markets and the solutions that are being investigated to address them. We conclude our work by identifying common types of data markets and corresponding best practices for designing them. The outcome of this work is intended to serve as a starting point for software architects and engineers looking to design data markets.

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“…In particular, the data can be used for commercial purposes with the proliferation of machine learning solutions for artificial intelligence and big data analytics [4,5]. Such a trend requires a data marketplace [6,7] for buying and selling data, as shown in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Based Secure and Fair IoT Data Trading System with Bilateral Authorization

Park,

Hyeon Jeon,

Uk Shin

2023

Computers, Materials &Amp; Continua

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These days, data is regarded as a valuable asset in the era of the data economy, which demands a trading platform for buying and selling data. However, online data trading poses challenges in terms of security and fairness because the seller and the buyer may not fully trust each other. Therefore, in this paper, a blockchain-based secure and fair data trading system is proposed by taking advantage of the smart contract and matchmaking encryption. The proposed system enables bilateral authorization, where data trading between a seller and a buyer is accomplished only if their policies, required by each other, are satisfied simultaneously. This can be achieved by exploiting the security features of the matchmaking encryption. To guarantee non-repudiation and fairness between trading parties, the proposed system leverages a smart contract to ensure that the parties honestly carry out the data trading protocol. However, the smart contract in the proposed system does not include complex cryptographic operations for the efficiency of onchain processes. Instead, these operations are carried out by off-chain parties and their results are used as input for the on-chain procedure. The system also uses an arbitration protocol to resolve disputes based on the trading proof recorded on the blockchain. The performance of the protocol is evaluated in terms of off-chain computation overhead and on-chain gas consumption. The results of the experiments demonstrate that the proposed protocols can enable the implementation of a cost-effective data trading system.

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Blockchain Enabled Data Trading with User Consent

Cited by 4 publications

References 24 publications

Blockchain-based decentralized storage scheme with verifiable fair payment for smart cities

Blockchain-based decentralized storage scheme with verifiable fair payment for smart cities

Data Market Design: A Systematic Literature Review

Blockchain-Based Secure and Fair IoT Data Trading System with Bilateral Authorization

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