Merkle Tree-based Access Structure for Sensitive Attributes in Patient-Centric Data

Merkle Tree-based Access Structure for Sensitive Attributes in Patient-Centric Data

© 2022 by IJETT Journal
Volume-70 Issue-6
Year of Publication : 2022
Authors : B. Ravinder Reddy, T. Adilakshmi
DOI : 10.14445/22315381/IJETT-V70I6P213

How to Cite?

B. Ravinder Reddy, T. Adilakshmi, "Merkle Tree-based Access Structure for Sensitive Attributes in Patient-Centric Data," International Journal of Engineering Trends and Technology, vol. 70, no. 6, pp. 106-113, 2022. Crossref,

Wearable health care [1] is a prominent technology that allows people to get medical services. Medical data obtained by wearables necessitates immediate and accurate information sharing from any location for improved healthcare decisions. However, during sharing, the security and confidentiality of such patient information will become a key problem. The security of patients' data is critical in medical settings when unwanted access to information is unavoidable. To close the security gap, this study proposes the Merkle Tree-based Access Structure Construction for the CP-ABE model [2], a unique distributed authority and policy-hiding capability approach that provides secure access to patient-sensitive data characteristics. We improve the CPABE access structure by building two access trees, one for sensitive patient information and the other for non-sensitive qualities, to provide fine-grained access control, data privacy, and integrity [1]. We compared the proposed framework to other CP-ABE-based systems that were already in use. It demonstrates that the suggested paradigm provides improved security for clinical services.

cpabe, Hash, Merkle tree, pcd, Privacy.

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