A blockchain-based system for patient data privacy and security.
Saved in:
| Title: | A blockchain-based system for patient data privacy and security. |
|---|---|
| Authors: | Masood, Isma1 (AUTHOR), Daud, Ali2 (AUTHOR) alimsdb@gmail.com, Wang, Yongli1 (AUTHOR), Banjar, Ameen3 (AUTHOR), Alharbey, Riad3 (AUTHOR) |
| Source: | Multimedia Tools & Applications. Jun2024, Vol. 83 Issue 21, p60443-60467. 25p. |
| Subjects: | Data privacy, Body sensor networks, Blockchains, Access control, Medical records, Wireless sensor networks, Security systems |
| Abstract: | The integration of wireless body sensor networks with cloud computing introduces numerous challenges in ensuring the privacy and security of patient data, including access control, scalability, privacy, data confidentiality, authorization rights management, multiple access control policies, audit control, and the availability of personal health information (PHI). Traditional sensor-cloud infrastructure (S-CI) architectures, typically reliant on a single trusted authority, struggle to address these multifaceted challenges. Recognizing the evolving landscape and the need for robust security measures, Blockchain technology has emerged as a promising solution, showcasing significant advancements in various domains, especially healthcare. This study presents a detailed examination of the complex challenges within the S-CI paradigm and propose a comprehensive blockchain-based system designed to enhance the privacy and security of patient data. Our approach surpasses conventional architectures by introducing an innovative Blockchain-Based Access Control Model (BBACM). This model is specifically tailored to effectively manage authorization rights for accessing both patient physiological parameters (PPPs) and PHI. To validate the practicality and effectiveness of proposed BBACM, a real use case scenario involving a paralysis patient is implemented. Experimental results showcase that our model significantly improves fine-grained access control, security, privacy, scalability, and availability of PHI. By leveraging the decentralized and tamper-resistant nature of blockchain, our system provides a robust framework for addressing the identified challenges in S-CI. The introduced BBACM establishes a foundation for secure and privacy-preserving healthcare data management, offering a promising solution to the intricate security and privacy issues associated with the integration of wireless body sensor networks and cloud computing. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | The integration of wireless body sensor networks with cloud computing introduces numerous challenges in ensuring the privacy and security of patient data, including access control, scalability, privacy, data confidentiality, authorization rights management, multiple access control policies, audit control, and the availability of personal health information (PHI). Traditional sensor-cloud infrastructure (S-CI) architectures, typically reliant on a single trusted authority, struggle to address these multifaceted challenges. Recognizing the evolving landscape and the need for robust security measures, Blockchain technology has emerged as a promising solution, showcasing significant advancements in various domains, especially healthcare. This study presents a detailed examination of the complex challenges within the S-CI paradigm and propose a comprehensive blockchain-based system designed to enhance the privacy and security of patient data. Our approach surpasses conventional architectures by introducing an innovative Blockchain-Based Access Control Model (BBACM). This model is specifically tailored to effectively manage authorization rights for accessing both patient physiological parameters (PPPs) and PHI. To validate the practicality and effectiveness of proposed BBACM, a real use case scenario involving a paralysis patient is implemented. Experimental results showcase that our model significantly improves fine-grained access control, security, privacy, scalability, and availability of PHI. By leveraging the decentralized and tamper-resistant nature of blockchain, our system provides a robust framework for addressing the identified challenges in S-CI. The introduced BBACM establishes a foundation for secure and privacy-preserving healthcare data management, offering a promising solution to the intricate security and privacy issues associated with the integration of wireless body sensor networks and cloud computing. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 13807501 |
| DOI: | 10.1007/s11042-023-17941-y |