Survey of Secure Data Access Control Models in Cloud computing for EHR

Authors

  • Samadhan Shivaji Palkar PhD Scholar, Computer Science & Engineering, Mangalayatan University, Aligarh, Uttar Pradesh, India Author https://orcid.org/0009-0001-6323-9006
  • Dr. Raghav Mehra Professor, Computer Science & Engineering, Mangalayatan University, Aligarh, Uttar Pradesh, India Author
  • Shekhar Dasharath Jalane Assistant Professor, AIML, KIT’s College of Engineering (Autonomous) Kolhapur, Maharashtra, India Author

DOI:

https://doi.org/10.47392/IRJAEH.2024.0047

Keywords:

Electronic health record, Machine learning, decentralized, centralized, cloud security, access control, Cloud computing

Abstract

Today cloud computing is the first choice of many individuals and different organizations. Computing services offered by different CSP’s are available as per need and the requirement. Most of the healthcare organizations are using cloud services for transmitting, storing and processing electronic health records (EHR) of patients. Patient’s health record is sensitive and there is possibility of violation of privacy by CSP’s. Data access control is one of the best mechanisms to address security issues in cloud computing and ensure the safety, reliability of the system and privacy of the user data. Existing surveys on access control mechanisms in cloud computing focus on all traditional centralized models. However, decentralized access models like block chain with traditional access control model is also used now days for ensuring privacy of EHR. This paper takes the detailed of reviews such existing access control mechanisms in cloud computing, based both types of access control models. Also provides comparisons on each model’s advantages and limitations, and discusses the challenges of, and future research direction for access control.

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Published

2024-02-29

How to Cite

Survey of Secure Data Access Control Models in Cloud computing for EHR. (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(02), 309-320. https://doi.org/10.47392/IRJAEH.2024.0047

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