No Cover Image

Journal article 352 views

Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT

Jianfei Sun Orcid Logo, Yangyang Bao Orcid Logo, Weidong Qiu Orcid Logo, Rongxing Lu Orcid Logo, Songnian Zhang Orcid Logo, Yunguo Guan Orcid Logo, Cheng Cheng Orcid Logo

IEEE Transactions on Dependable and Secure Computing, Volume: 22, Issue: 2, Pages: 1329 - 1346

Swansea University Author: Cheng Cheng Orcid Logo

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

Abstract

The cloud-edge computing model has been expected to play a revolutionary role in promoting the quality of future generation large-scale Internet of Things (IoT) services. However, security and privacy in data sharing remain crucial issues hindering the success of cloud-edge IoT services. While some...

Full description

Published in: IEEE Transactions on Dependable and Secure Computing
ISSN: 1545-5971 1941-0018
Published: Institute of Electrical and Electronics Engineers (IEEE) 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa69480
first_indexed 2025-05-09T09:16:20Z
last_indexed 2025-06-14T04:53:44Z
id cronfa69480
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-06-13T14:44:52.2568380</datestamp><bib-version>v2</bib-version><id>69480</id><entry>2025-05-09</entry><title>Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT</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>2025-05-09</date><deptcode>MACS</deptcode><abstract>The cloud-edge computing model has been expected to play a revolutionary role in promoting the quality of future generation large-scale Internet of Things (IoT) services. However, security and privacy in data sharing remain crucial issues hindering the success of cloud-edge IoT services. While some solutions based on attribute-based encryption (ABE) have been proposed to address these issues, they still face practical challenges such as attribute privacy leakage, resource-constrained devices, dynamic user groups, inflexible and inefficient service response. To address these challenges, this paper proposes a privacy-preserving fine-grained data sharing scheme with dynamic service (PF2DS), which implements access control by calculating the inner product between an attribute vector and an access vector. PF2DS is also capable of providing dynamic user group services through an efficient and indirect user revocation mechanism that periodically updates the key-embedded leaf nodes. Building on PF2DS, edge-assisted PF2DS (EPF2DS) delegates most of the operations to the edge device, which facilitates the performance of resource-constrained IoT devices. EPF2DS also supports efficient and asynchronous keyword search over the ciphertexts stored in the cloud. We demonstrate the security by the rigorous security proof. Both theoretical comparisons and experimental simulations demonstrate the practicality and superiority of our schemes over existing works.</abstract><type>Journal Article</type><journal>IEEE Transactions on Dependable and Secure Computing</journal><volume>22</volume><journalNumber>2</journalNumber><paginationStart>1329</paginationStart><paginationEnd>1346</paginationEnd><publisher>Institute of Electrical and Electronics Engineers (IEEE)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1545-5971</issnPrint><issnElectronic>1941-0018</issnElectronic><keywords/><publishedDay>23</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-07-23</publishedDate><doi>10.1109/tdsc.2024.3432650</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>This work was supported in part by the National Natural Science Foundation of China under Grant 61972249 and in part by the China Postdoctoral Science Foundation under Grant 2024M753597.</funders><projectreference/><lastEdited>2025-06-13T14:44:52.2568380</lastEdited><Created>2025-05-09T10:13:01.0485504</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>Jianfei</firstname><surname>Sun</surname><orcid>0000-0002-6944-8378</orcid><order>1</order></author><author><firstname>Yangyang</firstname><surname>Bao</surname><orcid>0000-0002-0432-0015</orcid><order>2</order></author><author><firstname>Weidong</firstname><surname>Qiu</surname><orcid>0000-0001-6428-1655</orcid><order>3</order></author><author><firstname>Rongxing</firstname><surname>Lu</surname><orcid>0000-0001-5720-0941</orcid><order>4</order></author><author><firstname>Songnian</firstname><surname>Zhang</surname><orcid>0000-0002-0558-4485</orcid><order>5</order></author><author><firstname>Yunguo</firstname><surname>Guan</surname><orcid>0000-0002-3965-3389</orcid><order>6</order></author><author><firstname>Cheng</firstname><surname>Cheng</surname><orcid>0000-0003-0371-9646</orcid><order>7</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2025-06-13T14:44:52.2568380 v2 69480 2025-05-09 Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT 11ddf61c123b99e59b00fa1479367582 0000-0003-0371-9646 Cheng Cheng Cheng Cheng true false 2025-05-09 MACS The cloud-edge computing model has been expected to play a revolutionary role in promoting the quality of future generation large-scale Internet of Things (IoT) services. However, security and privacy in data sharing remain crucial issues hindering the success of cloud-edge IoT services. While some solutions based on attribute-based encryption (ABE) have been proposed to address these issues, they still face practical challenges such as attribute privacy leakage, resource-constrained devices, dynamic user groups, inflexible and inefficient service response. To address these challenges, this paper proposes a privacy-preserving fine-grained data sharing scheme with dynamic service (PF2DS), which implements access control by calculating the inner product between an attribute vector and an access vector. PF2DS is also capable of providing dynamic user group services through an efficient and indirect user revocation mechanism that periodically updates the key-embedded leaf nodes. Building on PF2DS, edge-assisted PF2DS (EPF2DS) delegates most of the operations to the edge device, which facilitates the performance of resource-constrained IoT devices. EPF2DS also supports efficient and asynchronous keyword search over the ciphertexts stored in the cloud. We demonstrate the security by the rigorous security proof. Both theoretical comparisons and experimental simulations demonstrate the practicality and superiority of our schemes over existing works. Journal Article IEEE Transactions on Dependable and Secure Computing 22 2 1329 1346 Institute of Electrical and Electronics Engineers (IEEE) 1545-5971 1941-0018 23 7 2024 2024-07-23 10.1109/tdsc.2024.3432650 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University This work was supported in part by the National Natural Science Foundation of China under Grant 61972249 and in part by the China Postdoctoral Science Foundation under Grant 2024M753597. 2025-06-13T14:44:52.2568380 2025-05-09T10:13:01.0485504 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Jianfei Sun 0000-0002-6944-8378 1 Yangyang Bao 0000-0002-0432-0015 2 Weidong Qiu 0000-0001-6428-1655 3 Rongxing Lu 0000-0001-5720-0941 4 Songnian Zhang 0000-0002-0558-4485 5 Yunguo Guan 0000-0002-3965-3389 6 Cheng Cheng 0000-0003-0371-9646 7
title Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT
spellingShingle Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT
Cheng Cheng
title_short Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT
title_full Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT
title_fullStr Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT
title_full_unstemmed Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT
title_sort Privacy-Preserving Fine-Grained Data Sharing With Dynamic Service for the Cloud-Edge IoT
author_id_str_mv 11ddf61c123b99e59b00fa1479367582
author_id_fullname_str_mv 11ddf61c123b99e59b00fa1479367582_***_Cheng Cheng
author Cheng Cheng
author2 Jianfei Sun
Yangyang Bao
Weidong Qiu
Rongxing Lu
Songnian Zhang
Yunguo Guan
Cheng Cheng
format Journal article
container_title IEEE Transactions on Dependable and Secure Computing
container_volume 22
container_issue 2
container_start_page 1329
publishDate 2024
institution Swansea University
issn 1545-5971
1941-0018
doi_str_mv 10.1109/tdsc.2024.3432650
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
description The cloud-edge computing model has been expected to play a revolutionary role in promoting the quality of future generation large-scale Internet of Things (IoT) services. However, security and privacy in data sharing remain crucial issues hindering the success of cloud-edge IoT services. While some solutions based on attribute-based encryption (ABE) have been proposed to address these issues, they still face practical challenges such as attribute privacy leakage, resource-constrained devices, dynamic user groups, inflexible and inefficient service response. To address these challenges, this paper proposes a privacy-preserving fine-grained data sharing scheme with dynamic service (PF2DS), which implements access control by calculating the inner product between an attribute vector and an access vector. PF2DS is also capable of providing dynamic user group services through an efficient and indirect user revocation mechanism that periodically updates the key-embedded leaf nodes. Building on PF2DS, edge-assisted PF2DS (EPF2DS) delegates most of the operations to the edge device, which facilitates the performance of resource-constrained IoT devices. EPF2DS also supports efficient and asynchronous keyword search over the ciphertexts stored in the cloud. We demonstrate the security by the rigorous security proof. Both theoretical comparisons and experimental simulations demonstrate the practicality and superiority of our schemes over existing works.
published_date 2024-07-23T17:56:06Z
_version_ 1850691935985991680
score 11.08899