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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 1, 2023.
Abstract: With the advent of wearable devices and smart health care, the wearable health care technology for obtaining Patient Centric Data (PCD) has gained popularity in recent years. To establish access control over encrypted data in health records, Ciphertext Policy-Attribute Based Encryption (CP-ABE), is used. The most critical element is granting secure access to the generated information. However, with growing complexity of access policy, computational overhead of encryption and decryption process also increases. As a result, ensuring data access control as well as efficiency in PCD collected by wearables is crucial and challenging. This paper proposes and demonstrates a proof-of-work for the Merkle-based access tree using notion of hiding the sensitive access policy attributes.
B Ravinder Reddy and T Adilakshmi, “Proof-of-Work for Merkle based Access Tree in Patient Centric Data” International Journal of Advanced Computer Science and Applications(IJACSA), 14(1), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140158
@article{Reddy2023,
title = {Proof-of-Work for Merkle based Access Tree in Patient Centric Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140158},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140158},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {1},
author = {B Ravinder Reddy and T Adilakshmi}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.