No Cover Image

Journal article 343 views

Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System

Yangyang Bao Orcid Logo, Weidong Qiu, Peng Tang Orcid Logo, Cheng Cheng Orcid Logo

IEEE Journal of Biomedical and Health Informatics, Volume: 26, Issue: 5, Pages: 2041 - 2051

Swansea University Author: Cheng Cheng Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1109/jbhi.2021.3100871

Published in: IEEE Journal of Biomedical and Health Informatics
ISSN: 2168-2194 2168-2208
Published: Institute of Electrical and Electronics Engineers (IEEE) 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67675
first_indexed 2024-10-24T14:14:28Z
last_indexed 2024-11-25T14:20:36Z
id cronfa67675
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2024-10-24T15:19:37.6335846</datestamp><bib-version>v2</bib-version><id>67675</id><entry>2024-09-12</entry><title>Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System</title><swanseaauthors><author><sid>11ddf61c123b99e59b00fa1479367582</sid><ORCID>0000-0003-0371-9646</ORCID><firstname>Cheng</firstname><surname>Cheng</surname><name>Cheng Cheng</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-09-12</date><deptcode>MACS</deptcode><abstract/><type>Journal Article</type><journal>IEEE Journal of Biomedical and Health Informatics</journal><volume>26</volume><journalNumber>5</journalNumber><paginationStart>2041</paginationStart><paginationEnd>2051</paginationEnd><publisher>Institute of Electrical and Electronics Engineers (IEEE)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2168-2194</issnPrint><issnElectronic>2168-2208</issnElectronic><keywords/><publishedDay>5</publishedDay><publishedMonth>5</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-05-05</publishedDate><doi>10.1109/jbhi.2021.3100871</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2024-10-24T15:19:37.6335846</lastEdited><Created>2024-09-12T15:04:23.8632438</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Yangyang</firstname><surname>Bao</surname><orcid>0000-0002-0432-0015</orcid><order>1</order></author><author><firstname>Weidong</firstname><surname>Qiu</surname><order>2</order></author><author><firstname>Peng</firstname><surname>Tang</surname><orcid>0000-0001-6607-1280</orcid><order>3</order></author><author><firstname>Cheng</firstname><surname>Cheng</surname><orcid>0000-0003-0371-9646</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2024-10-24T15:19:37.6335846 v2 67675 2024-09-12 Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System 11ddf61c123b99e59b00fa1479367582 0000-0003-0371-9646 Cheng Cheng Cheng Cheng true false 2024-09-12 MACS Journal Article IEEE Journal of Biomedical and Health Informatics 26 5 2041 2051 Institute of Electrical and Electronics Engineers (IEEE) 2168-2194 2168-2208 5 5 2022 2022-05-05 10.1109/jbhi.2021.3100871 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2024-10-24T15:19:37.6335846 2024-09-12T15:04:23.8632438 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Yangyang Bao 0000-0002-0432-0015 1 Weidong Qiu 2 Peng Tang 0000-0001-6607-1280 3 Cheng Cheng 0000-0003-0371-9646 4
title Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System
spellingShingle Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System
Cheng Cheng
title_short Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System
title_full Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System
title_fullStr Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System
title_full_unstemmed Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System
title_sort Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System
author_id_str_mv 11ddf61c123b99e59b00fa1479367582
author_id_fullname_str_mv 11ddf61c123b99e59b00fa1479367582_***_Cheng Cheng
author Cheng Cheng
author2 Yangyang Bao
Weidong Qiu
Peng Tang
Cheng Cheng
format Journal article
container_title IEEE Journal of Biomedical and Health Informatics
container_volume 26
container_issue 5
container_start_page 2041
publishDate 2022
institution Swansea University
issn 2168-2194
2168-2208
doi_str_mv 10.1109/jbhi.2021.3100871
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2022-05-05T17:38:36Z
_version_ 1850690834210488320
score 11.08899

Similar Items