A Privacy-Preserving Data Aggregation Scheme Based on Chinese Remainder Theorem in Mobile Crowdsensing System
Mobile crowdsensing provides a large-scale reliable data, since sensing nodes support wide distribution, flexible mobility, and opportunistic connectivity. The generated data often contains the sensing node's sensitive information. Existing schemes dedicated to protecting the privacy of percept...
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Published in | IEEE systems journal Vol. 17; no. 3; pp. 4257 - 4266 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.09.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1932-8184 1937-9234 |
DOI | 10.1109/JSYST.2023.3262321 |
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Abstract | Mobile crowdsensing provides a large-scale reliable data, since sensing nodes support wide distribution, flexible mobility, and opportunistic connectivity. The generated data often contains the sensing node's sensitive information. Existing schemes dedicated to protecting the privacy of perception data, but these schemes cannot balance the computational and communication overheads well. Therefore, we propose a privacy-preserving data aggregation scheme based on the Chinese remainder theorem. Using blinding factor and Paillier homomorphic encryption technology, which not only ensures the privacy of perceived data but also improves the robustness of the system. Specially, the introduction of secure multicast communication technology based on the Chinese remainder theorem protects task privacy and ensures only designated sensing nodes can obtain the task. In addition, we design an efficient signature scheme to ensure data integrity. Detailed security analysis shows that our scheme is existentially unforgeable against adaptively chosen message attack. Extensive experiments and performance analysis show that our scheme is efficient and has a low communication overhead. |
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AbstractList | Mobile crowdsensing provides a large-scale reliable data, since sensing nodes support wide distribution, flexible mobility, and opportunistic connectivity. The generated data often contains the sensing node's sensitive information. Existing schemes dedicated to protecting the privacy of perception data, but these schemes cannot balance the computational and communication overheads well. Therefore, we propose a privacy-preserving data aggregation scheme based on the Chinese remainder theorem. Using blinding factor and Paillier homomorphic encryption technology, which not only ensures the privacy of perceived data but also improves the robustness of the system. Specially, the introduction of secure multicast communication technology based on the Chinese remainder theorem protects task privacy and ensures only designated sensing nodes can obtain the task. In addition, we design an efficient signature scheme to ensure data integrity. Detailed security analysis shows that our scheme is existentially unforgeable against adaptively chosen message attack. Extensive experiments and performance analysis show that our scheme is efficient and has a low communication overhead. |
Author | Li, Yumei Hu, Guoxiong Zhu, Boyao Zhang, Mingwu |
Author_xml | – sequence: 1 givenname: Boyao surname: Zhu fullname: Zhu, Boyao email: byzhu@hbut.edu.cn organization: School of Computers, Hubei University of Technology, Wuhan, China – sequence: 2 givenname: Yumei surname: Li fullname: Li, Yumei email: yumei_li@hbut.edu.cn organization: School of Computers, Hubei University of Technology, Wuhan, China – sequence: 3 givenname: Guoxiong surname: Hu fullname: Hu, Guoxiong email: huguoxiong@hbut.edu.cn organization: School of Computers, Hubei University of Technology, Wuhan, China – sequence: 4 givenname: Mingwu orcidid: 0000-0001-8551-8826 surname: Zhang fullname: Zhang, Mingwu email: mzhang@hbut.edu.cn organization: School of Computers, Hubei University of Technology, Wuhan, China |
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Cites_doi | 10.1049/iet-ifs.2012.0352 10.1109/ISCISC.2013.6767346 10.1109/JIOT.2022.3168745 10.1109/JIOT.2018.2874473 10.1109/tdsc.2022.3219849 10.1007/s001450010003 10.1109/TAC.2019.2910171 10.1007/978-3-642-38865-1_29 10.1109/TNET.2019.2938453 10.1109/JSYST.2021.3093415 10.1109/ACCESS.2017.2677520 10.1109/MCOM.2019.1700859 10.1109/TGCN.2021.3122793 10.1109/JIOT.2021.3051060 10.1109/INFOCOM.2016.7524547 10.1007/3-540-45682-1_30 10.1109/TMC.2019.2901463 10.1109/glocom.2017.8253928 10.1109/TII.2017.2721542 10.1109/JSYST.2020.3027758 10.1109/TIFS.2019.2931068 10.1515/popets-2017-0055 10.1109/TNET.2018.2840098 10.1109/GLOCOM.2015.7417140 10.1016/j.jnca.2018.09.018 10.1145/1378600.1378624 10.1109/TITS.2020.2998775 10.1109/TMC.2020.2973980 10.1016/j.csi.2022.103678 10.1109/TIFS.2020.2975925 10.1109/TIFS.2019.2903659 10.1145/2627393.2627402 10.1109/JIOT.2020.3032797 10.1109/MCOM.2018.1701065 10.1007/BF00196725 10.1016/j.future.2019.02.014 10.1007/3-540-48910-X_16 10.1142/3254 10.1109/JSYST.2022.3154162 10.1109/JIOT.2021.3068490 10.1109/TNSE.2019.2892583 10.1016/j.ins.2014.05.014 10.1109/JIOT.2016.2585592 |
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SubjectTerms | Authentication Chinese remainder theorem Communication Cryptography Data aggregation Data management Data privacy integrity mobile crowdsensing (MCS) Nodes Privacy privacy-preserving Sensors Task analysis Theorems |
Title | A Privacy-Preserving Data Aggregation Scheme Based on Chinese Remainder Theorem in Mobile Crowdsensing System |
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