TPSense: A Framework for Event-Reports Trustworthiness Evaluation in Privacy-Preserving Vehicular Crowdsensing Systems-Reference-Cited by-同舟云学术

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TPSense: A Framework for Event-Reports Trustworthiness Evaluation in Privacy-Preserving Vehicular Crowdsensing Systems

Published:2020-06-17 Issue:2-3 Volume:93 Page:209-219
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Xu Zhenqiang,Yang Weidong,Xiong Zenggang^ORCID,Wang Jiayao,Liu Gang

Funder

National Natural Science Foundation of China

Department of Education Outstanding Youth Scientific Innovation Team Support Foundation

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11265-020-01559-6.pdf

Reference38 articles.

1. Qiu, M., Ming, Z., Li, J., Liu, S., Wang, B., & Lu, Z. (2012). Three-phase time-aware energy minimization with DVFS and unrolling for Chip multiprocessors. Journal of Systems Architecture, 58(10), 439–445.

2. Qiu, M., Sha, E. H.-M., Liu, M., Lin, M., Hua, S., & Yang, L. T. (2008). Energy minimization with loop fusion and multi-functional-unit scheduling for multidimensional DSP. Journal of Parallel and Distributed Computing, 68(4), 443–455.

3. Shao, Z., Wang, M., Chen, Y., Xue, C., Qiu, M., Yang, L. T., & Sha, E. H.-M. (2007). Real-time dynamic voltage loop scheduling for multi-Core embedded systems. IEEE Transactions on Circuits and Systems II: Express Briefs, 54(5), 445–449.

4. Zhang, C., Zhu, L., Xu, C., Du, X., & Guizani, M. (2019). A privacy-preserving traffic monitoring scheme via vehicular crowdsourcing. Sensors, 19(6), 1274.

5. Basudan, S., Lin, X., & Sankaranarayanan, K. (2017). A privacy-preserving vehicular Crowdsensing-based road surface condition monitoring system using fog computing. IEEE Internet of Things Journal, 4(3), 772–782.

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2. Towards Privacy-Preserving Decentralized Reputation Management for Vehicular Crowdsensing;Lecture Notes in Computer Science;2023-11-08

3. Blockchain-based and Privacy-Preserving Data Collection for Vehicular Crowdsensing;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

4. A study of mechanisms and approaches for IoV trust models requirements achievement;The Journal of Supercomputing;2023-09-08

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