期刊
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 70, 期 1, 页码 742-753出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2020.3035588
关键词
Crowdsensing; Sensors; Task analysis; Protocols; Cascading style sheets; Security; Mobile handsets; Certificateless public key cryptography; edge computing; mobile crowdsensing; secure data deduplication
资金
- NSFC [U1808207, 91746114]
- Project of Shanghai Municipal Science and Technology Commission [18510761000]
- Cloud Technology Endowed Professorship
The paper introduces an efficient and secure data deduplication protocol for edge-assisted mobile crowdsensing services, utilizing certificateless public key cryptography and a novel method to ensure privacy and security attributes, while demonstrating superior performance in terms of minimal computation and communication costs.
Data deduplication for edge-based mobile crowdsensing services removes duplicate data to minimize storage space and enhance communication efficiency. However, secure data deduplication in edge-based mobile crowdsensing applications can be challenging to achieve in concurrent with protecting sensing data and participants (e.g., client and recruited mobile users) from various threats (i.e., inside attacks and outside attacks). In this paper, we propose an efficient and secure data deduplication protocol for edge-assisted mobile crowdsensing services. Specifically, certificateless public key cryptography is first employed to generate the private and public keys of the crowdsensing server center and edge nodes. Then, a novel method is created to detect and eliminate duplicates while preventing the duplicate-linking from being leaked. Next, we demonstrate that the presented scheme achieves both privacy and security attributes typically required of mobile crowdsening applications. Finally, the performance analysis shows that the proposed protocol incurs minimal computation and communication costs compared with the state of the art research.
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