Secure Cloud EHR with Semantic Access Control, Searchable Encryption and Attribute Revocation
| dc.contributor.author | Walid, Redwan | |
| dc.contributor.author | Joshi, Karuna | |
| dc.contributor.author | Choi, Seung Geol | |
| dc.date.accessioned | 2021-08-06T18:00:42Z | |
| dc.date.available | 2021-08-06T18:00:42Z | |
| dc.date.issued | 2021-09-06 | |
| dc.description | IEEE International Conference on Digital Health (ICDH) 2021 in IEEE World Congress on Services 2021 | en_US |
| dc.description.abstract | To ensure a secure Cloud-based Electronic Health Record (EHR) system, we need to encrypt data and impose field-level access control to prevent malicious usage. Since the attributes of the Users will change with time, the encryption policies adopted may also vary. For large EHR systems, it is often necessary to search through the encrypted data in realtime and perform client-side computations without decrypting all patient records. This paper describes our novel cloud-based EHR system that uses Attribute Based Encryption (ABE) combined with Semantic Web technologies to facilitate differential access to an EHR, thereby ensuring only Users with valid attributes can access a particular field of the EHR. The system also includes searchable encryption using keyword index and search trapdoor, which allows querying EHR fields without decrypting the entire patient record. The attribute revocation feature is efficiently managed in our EHR by delegating the revision of the secret key and ciphertext to the Cloud Service Provider (CSP). Our methodology incorporates advanced security features that eliminate malicious use of EHR data and contributes significantly towards ensuring secure digital health systems on the Cloud. | en_US |
| dc.description.sponsorship | This work has been supported by Office of Naval Research under grants N00014-18-1-2453, N00014-19-WX-00568, and N00014-20-WX01704 and by NSF grant 1955319. | en_US |
| dc.description.uri | https://ieeexplore.ieee.org/document/9581266 | en_US |
| dc.format.extent | 10 pages | en_US |
| dc.genre | conference papers and proceedings | en_US |
| dc.genre | preprints | en_US |
| dc.identifier | doi:10.13016/m2mzkc-iiav | |
| dc.identifier.citation | R. Walid, K. P. Joshi and S. G. Choi, "Secure Cloud EHR with Semantic Access Control, Searchable Encryption and Attribute Revocation," 2021 IEEE International Conference on Digital Health (ICDH), 2021, pp. 38-47, doi: 10.1109/ICDH52753.2021.00016. | en_US |
| dc.identifier.uri | http://hdl.handle.net/11603/22329 | |
| dc.identifier.uri | https://doi.org/10.1109/ICDH52753.2021.00016 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Information Systems Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | en_US |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
| dc.rights | Public Domain Mark 1.0 | |
| dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | |
| dc.subject | UMBC Ebiquity Research Group | en_US |
| dc.title | Secure Cloud EHR with Semantic Access Control, Searchable Encryption and Attribute Revocation | en_US |
| dc.type | Text | en_US |
| dcterms.creator | https://orcid.org/0000-0002-6354-1686 | en_US |