Cloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable Encryption

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dc.contributor.authorWalid, Redwan
dc.contributor.authorJoshi, Karuna Pande
dc.contributor.authorChoi, SeungGeol
dc.contributor.authorKim, Dae-young Leroy
dc.date.accessioned2020-12-10T20:01:40Z
dc.date.available2020-12-10T20:01:40Z
dc.description7th International Workshop on Privacy and Security of Big Data (PSBD 2020), in conjunction with 2020 IEEE International Conference on Big Data (IEEE BigData 2020)en_US
dc.description.abstractCloud-based electronic health records (EHR) systems provide important security controls by encrypting patient data. However, these records cannot be queried without decrypting the entire record. This incurs a huge amount of burden in network bandwidth and the client-side computation. As the volume of cloud-based EHRs reaches Big Data levels, it is essential to search over these encrypted patient records without decrypting them to ensure that the medical caregivers can efficiently access the EHRs. This is especially critical if the caregivers have access to only certain sections of the patient EHR and should not decrypt the whole record. In this paper, we present our novel approach that facilitates searchable encryption of large EHR systems using Attribute-based Encryption (ABE) and multi-keyword search techniques. Our framework outsources key search features to the cloud side. This way, our system can perform keyword searches on encrypted data with significantly reduced costs of network bandwidth and client-side computation.en_US
dc.description.sponsorshipThis work has been supported by Office of Naval Research under grants N00014-18-1-2453 and N00014-19-WX-00568.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/9378002en_US
dc.format.extent8 pagesen_US
dc.genreconference and proceedings preprintsen_US
dc.identifierdoi:10.13016/m20yd4-mcku
dc.identifier.citationRedwan Walid, Karuna Pande Joshi, SeungGeol Choi, and Dae-young Leroy Kim, Cloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable Encryption, 2020 IEEE International Conference on Big Data (Big Data), 19 March, 2021; https://doi.org/10.1109/BigData50022.2020.9378002en_US
dc.identifier.urihttp://hdl.handle.net/11603/20234
dc.identifier.urihttps://doi.org/10.1109/BigData50022.2020.9378002
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis 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.
dc.rightsPublic Domain Mark 1.0*
dc.rightsThis 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.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.subjectUMBC Ebiquity Research Group
dc.titleCloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable Encryptionen_US
dc.typeTexten_US

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