A Privacy-Preserving Matching Service Scheme for Power Data Trading

【Author】 Liu, Zewei; Hu, Chunqiang; Ruan, Conghao; Zhang, Linghao; Hu, Pengfei; Xiang, Tao

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】Currently, power data trading typically relies on Web pages as the conventional mode of mediation. Nevertheless, dishonest trading Web may secretly resell the data sets of grid companies or have no way of knowing what the buyer has done with the power data, thereby compromising the privacy of power user. This article proposes a privacy-preserving supply-demand consistency matching service scheme (PPMSE) to address the problem of whether the power data provided by the seller aligns with the requirements of the buyer in power data trading. The scheme utilizes enhanced public-key searchable encryption (PKSE) to establish a matching environment that fulfills privacy protection needs, thereby facilitating consistency matching between supply and demand, all while preserving user privacy. Then, the PPMSE ensures that matching service can only occur within the designated platform by equipping the power data trading cloud platform with public and private keys. Additionally, by applying ciphertext policy attribute-based encryption (CP-ABE) to the data processing tasks of the buyer, the scheme enables the seller to decrypt and obtain what the buyer has done with the data after successful matching and meeting specific attributes. Ultimately, a comprehensive analysis and performance evaluation are provided, validating the feasibility and superiority of the proposed scheme.

【Keywords】Data models; Internet of Things; Data privacy; Blockchains; Task analysis; Encryption; Data processing; Cipher policy attribute-based encryption (CP-ABE); privacy preserving; public-key searchable encryption (PKSE); security; trading

【发表时间】2024 OCT 1

【收录时间】2024-10-15

【文献类型】案例研究

【主题类别】

区块链应用-实体经济-能源领域