Secure Attribute-Based Signature Scheme With Multiple Authorities for Blockchain in Electronic Health Records Systems

By Rui-Fang Guo, Huixian Shi, Qinglan Zhao, Dong Zheng. IEEE Access, 2018

413 citations recorded by the source corpus.

Electronic Health Records (EHRs) are entirely controlled by hospitals instead of patients, which complicates seeking medical advices from different hospitals. Patients face a critical need to focus on the details of their own healthcare and restore management of their own medical data. The rapid development of blockchain technology promotes population healthcare, including medical records as well as patient-related data. This technology provides patients with comprehensive, immutable records, and access to EHRs free from service providers and treatment websites. In this paper, to guarantee the validity of EHRs encapsulated in blockchain, we present an attribute-based signature scheme with multiple authorities, in which a patient endorses a message according to the attribute while disclosing no information other than the evidence that he has attested to it. Furthermore, there are multiple authorities without a trusted single or central one to generate and distribute public/private keys of the patient, which avoids the escrow problem and conforms to the mode of distributed data storage in the blockchain. By sharing the secret pseudorandom function seeds among authorities, this protocol resists collusion attack out of $N$ from $N-1$ corrupted authorities. Under the assumption of the computational bilinear Diffie-Hellman, we also formally demonstrate that, in terms of the unforgeability and perfect privacy of the attribute-signer, this attribute-based signature scheme is secure in the random oracle model. The comparison shows the efficiency and properties between the proposed method and methods proposed in other studies.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/34f8581a76f09645b27572c3b51290223bf5d6ab

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Citations in the corpus

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research (2019, positive): “[86] introduced an attribute-based signature scheme utilizing blockchain technology with multiple authorities to guarantee and validate EHRs.”
MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain (2018, positive): “[24] introduced an attribute-based signature scheme with multiple authorities to guarantee the validity of EHRs encapsulated in blockchain.”
Analysis of Blockchain technology: pros, cons and SWOT (2018, background): “This technology provides patients with comprehensive, immutable records and access to EHRs free from service providers and treatment websites [28, 29].”
Blockchain Technologies for the Internet of Things: Research Issues and Challenges (2018, methodology): “[35] introduced an attributebased signature scheme, named MA-ABS, which uses multiple”
A Systematic Review of the Use of Blockchain in Healthcare (2018, neutral): “1 [44] 2018 2 Journal IEEE Access 2 [45] 2017 0 Conference IEEE International Symposium on Autonomous Decentralized System (ISADS) 3 [46] 2018 0 Conference IEEE EMBS International Conference on Biomedical Health Informatics (BHI) 4 [47] 2017 0 Conference International Conference on Software, Telecom”
Applications of blockchain in ensuring the security and privacy of electronic health record systems: A survey (2020, positive): “Besides, Guo et al. (2018) proposed an attribute-based signature scheme with multiple authorities (MA-ABS) in the healthcare blockchain.”
Blockchain in healthcare and health sciences - A scoping review (2019, background): “Access control, data integrity, interoperability 12 [30] Electronic health records Sharing healthcare data between health institutions Data integrity 13 [31] Electronic health records Sharing healthcare data between health institutions Data integrity, access control 14 [32] Administrative systems…”
Blockchain Technology in Healthcare: A Systematic Review (2019, background): “Health Informatics Journal [27] Cognitive Systems Research [28] International Conference on Intelligent Sustainable Systems (ICISS) [29] Journal of medical systems [30,46,49,57,58,64,70,75,78,83] Expert Opinion on Drug Safety [31] IEEE Access [32,50,68,77] International Workshop on Emerging Technolo”