4.6 Article

Privacy Protection for Medical Data Sharing in Smart Healthcare

Publisher

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3408322

Keywords

Medical data privacy; attribute-based encryption; smart healthcare; access control

Funding

  1. National Key R&D Program of China [2017YFC1201200, 2019YFA0803000]
  2. National Natural Science Foundation of China [61872181, 61702236]
  3. National Science Foundation for Postdoctoral Scientists of China [2019M651826]
  4. Natural Science Foundation of Jiangsu Province [BK20180421]
  5. National Cryptography Development Fund [MMJJ20180105]
  6. Fundamental Research Funds for the Central Universities [NE2018106]
  7. JSPS [JP19J15225]
  8. JSPS Kiban(B) [18H03240]
  9. JSPS Kiban(C) [18K11298]
  10. H2020-SU-ICT-03-2018: CyberSec4Europe [830929]

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This article discusses the transformation of smart healthcare due to advancements in smart networks and cloud computing. It also highlights the challenges faced in storing sensitive medical data and ensuring secure data transmission. The proposed framework and data access control mechanism aim to address these challenges by incorporating watermarking technology for enhanced security and privacy protection. Extensive analytical and experimental results demonstrate the effectiveness of the proposed scheme in safeguarding patient information and ensuring data integrity.
In virtue of advances in smart networks and the cloud computing paradigm, smart healthcare is transforming. However, there are still challenges, such as storing sensitive data in untrusted and controlled infrastructure and ensuring the secure transmission of medical data, among others. The rapid development of watermarking provides opportunities for smart healthcare. In this article, we propose a new data-sharing framework and a data access control mechanism. The applications are submitted by the doctors. and the data is processed in the medical data center of the hospital, stored in semi-trusted servers to support the selective sharing of electronic medical records from different medical institutions between different doctors. Our approach ensures that privacy concerns are taken into account when processing requests for access to patients' medical information. For accountability, after data is modified or leaked, both patients and doctors must add digital watermarks associated with their identification when uploading data. Extensive analytical and experimental results are presented that show the security and efficiency of our proposed scheme.

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