Scalable and secure sharing of personal health records in cloud computing using attribute based encryption

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This document summarizes a research paper that proposes a novel framework for scalable and secure sharing of personal health records in cloud computing using attribute-based encryption. The framework aims to address issues like privacy exposure, scalability in key management, flexible access control and efficient user revocation. It leverages attribute-based encryption techniques to encrypt each patient's health records and divides users into multiple security domains to reduce complexity. The scheme guarantees patient privacy, enables dynamic modification of policies, and supports revocation and emergency access, as shown through analytical and experimental results.

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SCALABLE AND SECURE SHARING OF PERSONAL HEALTH RECORDS IN
CLOUD COMPUTING USING ATTRIBUTE-BASED ENCRYPTION

ABSTRACT:

Personal health record (PHR) is an emerging patient-centric model of health information
exchange, which is often outsourced to be stored at a third party, such as cloud providers.
However, there have been wide privacy concerns as personal health information could be
exposed to those third party servers and to unauthorized parties. To assure the patients’ control
over access to their own PHRs, it is a promising method to encrypt the PHRs before outsourcing.
Yet, issues such as risks of privacy exposure, scalability in key management, flexible access, and
efficient user revocation, have remained the most important challenges toward achieving finegrained, cryptographically enforced data access control.

In this paper, we propose a novel patient-centric framework and a suite of mechanisms for data
access control to PHRs stored in semitrusted servers. To achieve fine-grained and scalable data
access control for PHRs, we leverage attribute-based encryption (ABE) techniques to encrypt
each patient’s PHR file. Different from previous works in secure data outsourcing, we focus on
the multiple data owner scenario, and divide the users in the PHR system into multiple security
domains that greatly reduces the key management complexity for owners and users. A high
degree of patient privacy is guaranteed simultaneously by exploiting multiauthority ABE. Our
scheme also enables dynamic modification of access policies or file attributes, supports efficient
on-demand user/attribute revocation and break-glass access under emergency scenarios.
Extensive analytical and experimental results are presented which show the security, scalability,
and efficiency of our proposed scheme.

This document proposes a framework for securely storing personal health records (PHRs) in cloud computing using attribute-based encryption (ABE). The framework divides users into security domains to reduce complexity in key management for PHR owners and users. It exploits multi-authority ABE to guarantee patient privacy. The proposed scheme also enables dynamic access policies and file attributes as well as efficient user/attribute revocation and emergency access. Analytical and experimental results demonstrate the security, scalability and efficiency of the scheme.

Dotnet scalable and secure sharing of personal health records in cloud compu...Ecway Technologies

This document proposes a framework for securely storing personal health records (PHRs) in cloud computing using attribute-based encryption (ABE). The framework divides users into security domains to reduce complexity in key management for PHR owners and users. It exploits multi-authority ABE to guarantee patient privacy. The proposed scheme also enables dynamic access policies and file attributes as well as efficient user/attribute revocation and emergency access. Analysis and experiments show the security, scalability and efficiency of the scheme.

7Technology_solution

The document proposes a framework for securely sharing personal health records (PHRs) stored in the cloud using attribute-based encryption (ABE). It aims to achieve fine-grained access control over PHRs while addressing challenges like privacy risks, complex key management, and user revocation. The framework divides users into multiple security domains to reduce complexity and uses multi-authority ABE to guarantee patient privacy. Access policies and file attributes can also be dynamically modified. Experimental results demonstrate the security, scalability and efficiency of the proposed scheme.

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This document proposes a framework for securely storing personal health records (PHRs) in the cloud using attribute-based encryption (ABE). The framework aims to achieve fine-grained access control over PHRs while addressing issues like privacy, scalability of key management, flexible access policies, and efficient user revocation. It divides users into multiple security domains to reduce complexity and uses multi-authority ABE to guarantee patient privacy. The scheme also supports dynamic modification of access policies, on-demand revocation of users/attributes, and break-glass access in emergencies.

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The document discusses a seminar on scalable and secure sharing of personal health records (PHRs) in cloud computing, highlighting privacy concerns associated with third-party storage. It proposes a patient-centric framework that utilizes attribute-based encryption (ABE) for fine-grained data access control while ensuring data confidentiality and user revocation. The findings demonstrate the effectiveness and efficiency of the proposed system in managing PHRs in a semi-trusted environment.

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This document proposes a framework for securely storing personal health records (PHRs) in the cloud. It aims to achieve fine-grained access control and protect privacy. The framework uses attribute-based encryption to encrypt each patient's PHR file under access policies. This allows patients to selectively share records with users based on their attributes without knowing a full user list. It also divides the system into public and personal domains for different user access needs. Analytical and experimental results show the framework provides data confidentiality, revocation of access rights, write access control, and scalability.

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