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<p>As the Internet of Things (IoT) becomes more prevalent all the pre-existing flaws associated with traditional medical systems begin to surface. First and foremost the traditional means overhandling sensitive data often results in a privacy violation. Second medical systems seem to be compartmentalized and users are rather reluctant to disclose any data held on one system to other systems; hence users are confined within the boundaries of the system’s functionalities. To solve these problems the paper suggests a new reasonable scheme for sharing medical information. The proposed method combines an authorization mechanism and attribute-based encryption (ABE) with a blockchain providing security to data sharing across different health institutions. ABE is implemented in a way that improves the control of resource access. Moreover the proposed scheme uses many-to-many matching where multiple keywords are used to represent one’s health data and doctor’s expertise is represented by multiple interests for efficient interaction and diagnosis. The findings show that the computational cost for the index generation is 50% and matching is 71.73% lower thanLiang et al. And storage cost for match key and trapdoor is 92 .59% and 31.11% lower than Li et al.</p>

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On-chain hybrid decentralized approach for privacy-preserving healthcare data sharing scheme with blockchain and attribute base encryption

  • 期刊论文

  • 发表日期：

    2026年1月21日

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  • Manish Kumar Gupta,
  • Rajendra Kumar Dwivedi

摘要

As the Internet of Things (IoT) becomes more prevalent all the pre-existing flaws associated with traditional medical systems begin to surface. First and foremost the traditional means overhandling sensitive data often results in a privacy violation. Second medical systems seem to be compartmentalized and users are rather reluctant to disclose any data held on one system to other systems; hence users are confined within the boundaries of the system’s functionalities. To solve these problems the paper suggests a new reasonable scheme for sharing medical information. The proposed method combines an authorization mechanism and attribute-based encryption (ABE) with a blockchain providing security to data sharing across different health institutions. ABE is implemented in a way that improves the control of resource access. Moreover the proposed scheme uses many-to-many matching where multiple keywords are used to represent one’s health data and doctor’s expertise is represented by multiple interests for efficient interaction and diagnosis. The findings show that the computational cost for the index generation is 50% and matching is 71.73% lower thanLiang et al. And storage cost for match key and trapdoor is 92 .59% and 31.11% lower than Li et al.