Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing
Mobile crowdsensing (MCS) is an emerging data collection paradigm that exploits the potential of individual mobile devices to acquire mass data in a cost-effective manner. One of the important challenges in MCS application is to resist malicious users who provide false data to disturb the system. In...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8731930/ |
| _version_ | 1818878041394249728 |
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| author | Ke Zhao Shaohua Tang Bowen Zhao Yiming Wu |
| author_facet | Ke Zhao Shaohua Tang Bowen Zhao Yiming Wu |
| author_sort | Ke Zhao |
| collection | DOAJ |
| description | Mobile crowdsensing (MCS) is an emerging data collection paradigm that exploits the potential of individual mobile devices to acquire mass data in a cost-effective manner. One of the important challenges in MCS application is to resist malicious users who provide false data to disturb the system. In the existing work, the reputation management scheme is an effective way to overcome the challenge. However, most reputation management schemes rely on a semi-honest server and process data in the plaintext domain without considering server security and user privacy. In this paper, we integrate the blockchain and edge computing in the MCS scenario to construct a credible and efficient blockchain-based MCS system, called BC-MCS. To resist malicious users, we present a privacy-preserving reputation management scheme based on the proposed system. Furthermore, we design a delegation protocol to solve the inherent problem of user dynamics in the MCS. The prototype system implemented on the Hyperledger Sawtooth and Android client demonstrates that our scheme can achieve higher utility and security levels in handling malicious users compared with the previous centralized reputation management schemes. |
| first_indexed | 2024-12-19T14:07:52Z |
| format | Article |
| id | doaj.art-966632c8054a4373b10e06ab84936655 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T14:07:52Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-966632c8054a4373b10e06ab849366552022-12-21T20:18:14ZengIEEEIEEE Access2169-35362019-01-017746947471010.1109/ACCESS.2019.29209228731930Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile CrowdsensingKe Zhao0Shaohua Tang1https://orcid.org/0000-0003-4892-6550Bowen Zhao2Yiming Wu3School of Computer Science and Engineering, South China University of Technology, Guangzhou, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou, ChinaMobile crowdsensing (MCS) is an emerging data collection paradigm that exploits the potential of individual mobile devices to acquire mass data in a cost-effective manner. One of the important challenges in MCS application is to resist malicious users who provide false data to disturb the system. In the existing work, the reputation management scheme is an effective way to overcome the challenge. However, most reputation management schemes rely on a semi-honest server and process data in the plaintext domain without considering server security and user privacy. In this paper, we integrate the blockchain and edge computing in the MCS scenario to construct a credible and efficient blockchain-based MCS system, called BC-MCS. To resist malicious users, we present a privacy-preserving reputation management scheme based on the proposed system. Furthermore, we design a delegation protocol to solve the inherent problem of user dynamics in the MCS. The prototype system implemented on the Hyperledger Sawtooth and Android client demonstrates that our scheme can achieve higher utility and security levels in handling malicious users compared with the previous centralized reputation management schemes.https://ieeexplore.ieee.org/document/8731930/Mobile crowdsensingreputation managementprivacyblockchainedge computing |
| spellingShingle | Ke Zhao Shaohua Tang Bowen Zhao Yiming Wu Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing IEEE Access Mobile crowdsensing reputation management privacy blockchain edge computing |
| title | Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing |
| title_full | Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing |
| title_fullStr | Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing |
| title_full_unstemmed | Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing |
| title_short | Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing |
| title_sort | dynamic and privacy preserving reputation management for blockchain based mobile crowdsensing |
| topic | Mobile crowdsensing reputation management privacy blockchain edge computing |
| url | https://ieeexplore.ieee.org/document/8731930/ |
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