Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption
By Ming Li, Shucheng Yu, Yao Zheng, Kui Ren, Wenjing Lou. IEEE Transactions on Parallel and Distributed Systems, 2019
1,180 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/58a56d344c96de6d2ae898d0ae7b4f8fc4b6ade8
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Citations in the corpus
- DAC-MACS: Effective Data Access Control for Multiauthority Cloud Storage Systems (2013, methodology): “Li et al. [28] proposed an attribute revocation method for multiauthority ABE systems, but their methods is only for KP-ABE systems.”
- Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “Cloud/Fog Computing • infrastructure for high-level functions (data analysis, information systems) [102, 103, 104, 106, 107, 110, 5, 111] • paradigmatic model for offering of services to patients or to healthcare operators themselves [47] • performance monitoring • opacity of the infrastructure [109”
- Verifiable Privacy-Preserving Multi-Keyword Text Search in the Cloud Supporting Similarity-Based Ranking (2013, methodology): “Although encryption before data outsourcing [6], [7] can preserve data privacy against the CSP, it also makes the effective”
- Healthchain: A Blockchain-Based Privacy Preserving Scheme for Large-Scale Health Data (2019, methodology): “In 2013, Li et al. [14] proposed a novel patient-centric framework for fine-grained and scalable data access control by using ABE technology to encrypt users’ EHR data.”
- A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds (2014, background): “Li et al. [50] extended the work presented in [49] and proposed another framework for secure sharing of the PHRs in multiowner environment that divides the PHRs into different sub-domains.”
- Privacy-Preserving Data Processing with Flexible Access Control (2020, methodology): “ABE [37], [38] was widely applied in cloud storage management for achieving fine-grained access control [39], [40], [41].”
- MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain (2018, positive): “They leverage ABE techniques to encrypt each patient’s PHR file [20].”
- Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges (2015, background): “This work was supported in part by the National Science Foundation grant CNS-1239423 and a gift from Nvidia Corp.”
- Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, methodology): “Due to their distinctive properties, CP-ABE schemes are exploited to achieve data sharing in cloud storage [136] and KP-ABE schemes are used in e-healthcare systems to realize the sharing of personal health records [137].”
- Personal Health Records: A Systematic Literature Review (2017, neutral): “In particular, without the application of security practices, no privacy is available for the data [13-15].”
- The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “formation sharing process across different medical structures [122, 183] or between hospitals and patients [183, 182].”
- Attribute-based encryption for circuits (2013, background): “…in scenarios that demand complex policies to control access to encrypted data (such as medical or multimedia data [Akinyele et al. 2011; Li et al. 2013; Papanis et 2014]), as well as in designing cryptographic protocols for verifiably outsourcing computations [Parno et al. 2012] (see…”