The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Achieving Searchable and Privacy-Preserving Data Sharing for Cloud-Assisted E-Healthcare System
Abstract
The integration of wearable wireless devices and cloud computing in e-health systems has significantly improved their effectiveness and availability. Patients can upload their personal health information (PHI) files to the cloud, from where the health service providers (HSPs) can obtain appropriate information to determine the health state. This system not only reduces the costs associated to healthcare but also provides timely diagnosis to save lives. However, a number of privacy concerns arise while sharing sensitive information. In this paper, we propose a novel privacy-preserving patient health information sharing scheme, which allows HSPs to access and search PHI files in a secure yet efficient manner. We make use of the searchable encryption technique with keyword range search and multikeyword search. The proposed privacy-preserving equality test protocol allows different types of numeric comparison searches on encrypted data. We also use a variant of bloom filter and message authentication code to classify PHI files, filter false data, and check integrity of search results. The simulations on real-world and synthetic data show the feasibility and efficiency of the system, and security analysis proves the privacy-preservation properties.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Furthermore, by using an inference attack by the malicious user, the adversary can get what kind of information is being shared.This might include blood samples, type of disease and other relevant data [50].”
From Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey (2023) · cites this paper as [50]
Citations
Cites
Practical techniques for searches on encrypted data
Song, D., Wagner, D. A., & Perrig, A. (2002) · doi:10.1109/secpri.2000.848445 · Cited by 3,376
Secure Ranked Keyword Search over Encrypted Cloud Data
Wang, C., Cao, N., Li, J., Ren, K., & Lou, W. (2010) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2010.34 · Cited by 742
Dynamic Searchable Encryption in Very-Large Databases: Data Structures and Implementation
Cash, D., Jaeger, J., Jarecki, S., Jutla, C. S., Krawczyk, H., Roşu, M., & Steiner, M. (2014) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2014.23264 · Cited by 692
Parallel and Dynamic Searchable Symmetric Encryption
Kamara, S., & Papamanthou, C. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39884-1_22 · Cited by 532
VABKS: Verifiable attribute-based keyword search over outsourced encrypted data
Zheng, Q., Xu, S., & Ateniese, G. (2014) · doi:10.1109/infocom.2014.6847976 · Cited by 506
A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT
Lu, R., Heung, K., Lashkari, A. H., & Ghorbani, A. A. (2017) · IEEE Access · doi:10.1109/access.2017.2677520 · Cited by 478
Secure attribute-based data sharing for resource-limited users in cloud computing
Li, J., Zhang, Y., Chen, X., & Xiang, Y. (2017) · Computers & Security · doi:10.1016/j.cose.2017.08.007 · Cited by 461
Authorized Private Keyword Search over Encrypted Data in Cloud Computing
Li, M., Yu, S., Cao, N., & Lou, W. (2011) · Proceedings of the ... International Conference on Distributed Computing Systems/Proceedings of the International Conference on Distributed Computing Systems · doi:10.1109/icdcs.2011.55 · Cited by 327
Dynamic Searchable Encryption via Blind Storage
Naveed, M., Prabhakaran, M., & Gunter, C. A. (2014) · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · doi:10.1109/sp.2014.47 · Cited by 311
Firouzi, F., Rahmani, A. M., Mankodiya, K., Badaroglu, M., Merrett, G. V., Wong, P., & Farahani, B. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.09.016 · Cited by 303
Cited by
Sorted by citations
Items 101–105 of 105
A comprehensive review on cloud compliance
Nisirin, K., Mahapatra, A., & Kulkarni, S. S. (2023) · AIP conference proceedings · doi:10.1063/5.0175633
Pattanayak, A., & Dhal, S. (2024) · Research Square · doi:10.21203/rs.3.rs-2086485/v2
Liu, X., Li, X., Wang, B., & Zhang, X. (2023) · IEEE International Conference on Parallel and Distributed Systems (ICPADS) · doi:10.1109/icpads60453.2023.00140
MHBDS: Healthcare blockchain data sharing scheme based on SMPC and TRP-PBFT
Zhang, L., Luo, J., 郝志臣, & Yang, Q. (2026) · Science Progress · doi:10.1177/00368504261445860
Poisoning resilient federated learning for secure internet of medical things a systematic review
Unbreen, A., Naeem, H., Hassan, S. R., & Hassan, A. S. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-02344-3
Metadata
- Authors
- Xu, C., Wang, N., Zhu, L., Sharif, K., & Zhang, C.
- Affiliations
- Beijing Institute of Technology (CN)
- Venue
- IEEE Internet of Things Journal
- Published
- 2019-10
- Volume
- 6
- Issue
- 5
- Pages
- 8345-8356
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2945262612
- Cited by
- 105
- References
- 39
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 15 · 2023: 31 · 2022: 28 · 2021: 17 · 2020: 6
- FWCI
- 5.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- Funders
- National Natural Science Foundation of China (61402037, 61272512)
- Beijing Institute of Technology (2018CX20013)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- privacy-preserving data sharing, searchable encryption, searchable symmetric encryption, wearable devices, personal health data, Bloom filter, message authentication codes, data integrity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
