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A Secure and Efficient Blockchain-Based Data Trading Approach for Internet of Vehicles

机译:一种基于车辆的安全高效的基于区块链的数据交易方法

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摘要

In this paper, we propose a secure and efficient blockchain-based data trading approach for the Internet of Vehicles (IoV). First, we apply consortium blockchain technologies to ensure secure and truthful data trading, and propose a general blockchain-based data trading framework for IoV. Second, to improve the efficiency of data trading and encourage more participants to trade data, we propose an iterative double auction mechanism with the purpose of achieving social welfare maximization, in which pricing rules of buyers and sellers are designed to induce participants to submit bids and to decide the amount of traded data and its price among buyers and sellers. In particular, in our algorithm, the hidden information of individuals can be extracted gradually so that the privacy of participants in data trading can be protected well. Finally, the experimental results show the efficiency of our proposed algorithm. Moreover, the correctness of social welfare maximization, incentive compatibility, individually rationality, and weakly budget balance of our auction mechanism are verified in the experiments.
机译:在本文中,我们提出了一种针对车辆互联网(IoV)的安全高效的基于区块链的数据交易方法。首先,我们应用联盟区块链技术来确保安全真实的数据交易,并为IoV提出了一个基于区块链的通用数据交易框架。其次,为了提高数据交易的效率并鼓励更多的参与者交易数据,我们提出了一种迭代式双重拍卖机制,旨在实现社会福利最大化,在这种机制中,买卖双方的定价规则旨在诱使参与者提交报价和决定买卖双方之间交易数据的数量及其价格。特别是在我们的算法中,可以逐渐提取个人的隐藏信息,从而可以很好地保护数据交易参与者的隐私。最后,实验结果表明了该算法的有效性。此外,实验还验证了社会福利最大化的正确性,激励相容性,个体理性以及拍卖机制的预算平衡薄弱。

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