BBDS: Blockchain-Based Data Sharing for Electronic Medical Records in Cloud Environments

By Qi Xia, Emmanuel Boateng Sifah, Abla Smahi, S. Amofa, Xiaosong Zhang. Inf., 2017

509 citations recorded by the source corpus.

Disseminating medical data beyond the protected cloud of institutions poses severe risks to patients’ privacy, as breaches push them to the point where they abstain from full disclosure of their condition. This situation negatively impacts the patient, scientific research, and all stakeholders. To address this challenge, we propose a blockchain-based data sharing framework that sufficiently addresses the access control challenges associated with sensitive data stored in the cloud using immutability and built-in autonomy properties of the blockchain. Our system is based on a permissioned blockchain which allows access to only invited, and hence verified users. As a result of this design, further accountability is guaranteed as all users are already known and a log of their actions is kept by the blockchain. The system permits users to request data from the shared pool after their identities and cryptographic keys are verified. The evidence from the system evaluation shows that our scheme is lightweight, scalable, and efficient.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/101e3f82f7e4aae428d300a3e0ca2212fcdd5313

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Tao Huang
2. Renchao Xie
3. Shui Yu
4. Jun-feng Xie
5. Liehuang Zhu
6. F. Yu
7. Yun-jie Liu
8. Jiang Liu

In Information Systems

1. Shui Yu
2. Liehuang Zhu
3. F. Yu
4. Keke Gai
5. Jinnan Guo

Citations in the corpus

• Applications of blockchain in ensuring the security and privacy of electronic health record systems: A survey (2020, unknown): “The similar system in Xia et al. (2017) provides auditable and accountable access control for shared cloud repositories among big data entities in a trust-less environment.”
• A systematic literature review of blockchain-based applications: Current status, classification and open issues (2019, unknown): “…2017; Al Omar et al., 2017; Capgemini, 2017; Emrify Inc., 2017; Freed Associates, 2017; Shae et al., 2017; Zhao et al., 2017; Mamoshina, 2018; Mytis-Gkometh et al., 2017; Borioli and Couturier, 2018; Lee and Yang, 2018; Xia et al., 2017a, 2017c; Yue et al., 2016; Patel, 2018; Juneja et al., 2018).”
• Blockchain Meets Cloud Computing: A Survey (2020, background): “BBDS [90] was proposed in order to tackle this issue, which relied on a lightweight block structure to improve the system’s effi-ciency and scalability.”
• Blockchain in healthcare and health sciences - A scoping review (2019, background): “…of telemedicine services Data integrity 34 [52] Electronic health records Retrieving information in the EHR Access control, data integrity 35 [53] Electronic health records Sharing healthcare data for clinical and research purposes Access control, security, interoperability 36 [54] Personal…”
• A Systematic Review of the Use of Blockchain in Healthcare (2018, unknown): “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”
• A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges (2019, background): “In [130] and [131], a blockchain-based system called”