With the widespread application of Industrial Internet of Things (IIoT) technology in the industry, the security threats are also increasing. To ensure the safe sharing of resources in IIoT, this paper proposes a data security sharing model based on privacy protection (DSS‐PP) for blockchain‐enabled IIoT. Compared with previous works, DSS‐PP has obvious advantages in several important aspects: (1) In the process of identity authentication, it protects users' personal information by using authentication technology with hidden attributes; (2) the encrypted shared resources are stored in off‐chain database of the blockchain, while only the ciphertext index information is stored in the block. It reduces the storage load of the blockchain; (3) it uses blockchain logging technology to trace and account for illegal access. Under the hardness assumption of Inverse Computational Diffe–Hellman (ICDH) problem, this model is proven to be correct and safe. Through the analysis of performance, DSS‐PP has better performance than the referred works.

中文翻译：

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基于隐私保护的区块链工业物联网数据安全共享模型

随着工业物联网（IIoT）技术在行业中的广泛应用，安全威胁也越来越大。为确保工业物联网资源的安全共享，本文提出了一种基于隐私保护（DSS-PP）的区块链工业物联网数据安全共享模型。与以往的工作相比，DSS-PP在几个重要方面具有明显的优势：（1）在身份认证过程中，利用具有隐藏属性的认证技术来保护用户的个人信息；(2) 加密的共享资源存储在区块链的链下数据库中，而区块中仅存储密文索引信息。减少了区块链的存储负载；(3) 使用区块链日志技术对非法访问进行追踪和记账。在逆计算差分赫尔曼（ICDH）问题的硬度假设下，该模型被证明是正确和安全的。通过性能分析，DSS-PP的性能优于参考作品。