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    An efficient and privacy-preserving energy trading scheme based on blockchain

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    Date
    2019-12-01
    Author
    Lu, Xin
    Guan, Zhitao
    Zhou, Xiao
    Wu, Longfei
    Du, Xiaojiang
    Guizani, Mohsen
    ...show more authors ...show less authors
    Metadata
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    Abstract
    Distributed transaction model has gradually replaced the traditional centralized transaction model and has become the leading direction of development in energy trading. As the underlying support, blockchain technology is attracting more and more attention due to its advantages, i.e., integrity and non-repudiation. However, most blockchain-based trading models face the problem of privacy protection. In this paper, to solve this problem, Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is introduced as the core algorithm to reconstruct the transaction model. Specifically, we build a general model for distributed transaction called PP-BCTS (Privacy- Preserving Blockchain Trading Scheme). It can achieve fine-grained access control through transaction arbitration in ciphertext form. This design can maximize the protection of private information and can greatly improve the security and reliability of the transaction model. Additionally, a credibility-based equity proof consensus mechanism is proposed in PP-BCTS, which can greatly improve the operational efficiency. Security analysis and experimental evaluations are conducted to prove the validity and practicability of our proposed scheme.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081946565&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/GLOBECOM38437.2019.9014317
    http://hdl.handle.net/10576/37588
    Collections
    • Computer Science & Engineering [‎2428‎ items ]

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