Research Article

Privacy-Preserving Data Sharing in Healthcare: Advances in Secure Multiparty Computation

Authors

  • Md Fahim Ahammed Information Assurance and Cybersecurity, Gannon University, Erie, Pennsylvania, USA
  • Md Rasheduzzaman Labu Information Assurance and Cybersecurity, Gannon University, Erie, Pennsylvania, USA

Abstract

Secure Multi-Party Computation (SMC) is a thriving strategy for privacy-preserving data sharing in the healthcare domain. This research examined the role of SMC in the healthcare context and its alignment with regulations such as HIPAA and GDPR. The study highlights key findings in advanced cryptographic techniques, usability enhancements, scalability improvements, as well as security and privacy assurance protocols within SMC. The potential implications of SMC on patient privacy healthcare data management are unquestionable in terms of protecting sensitive information, securing collaboration, and facilitating data-driven decision-making. This study demonstrates that SMC has the potential to revolutionize and transform healthcare by affirming privacy while facilitating secure data sharing, leading to enhanced healthcare outcomes and empowering patients with control over their data.

Article information

Journal

Journal of Medical and Health Studies

Volume (Issue)

5 (2)

Pages

37-47

Published

2024-04-07

How to Cite

Md Fahim Ahammed, & Md Rasheduzzaman Labu. (2024). Privacy-Preserving Data Sharing in Healthcare: Advances in Secure Multiparty Computation. Journal of Medical and Health Studies, 5(2), 37-47. https://doi.org/10.32996/jmhs.2024.5.2.4

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Keywords:

Privacy-preserving; Data sharing; Secure Multiparty Computation; Cryptographic techniques; HIPAA