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Cited by 553

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems

Cai, Zhipeng, Zheng, Xu·2020·IEEE Transactions on Network Science and Engineering

Abstract

To provide fine-grained access to different dimensions of the physical world, the data uploading in smart cyber-physical systems suffers novel challenges on both energy conservation and privacy preservation. It is always critical for participants to consume as little energy as possible for data uploading. However, simply pursuing energy efficiency may lead to extreme disclosure of private information, especially when the uploaded contents from participants are more informative than ever. In this article, we propose a novel mechanism for data uploading in smart cyber-physical systems, which considers both energy conservation and privacy preservation. The mechanism preserves privacy by concealing abnormal behaviors of participants, while still achieves an energy-efficient scheme for data uploading by introducing an acceptable number of extra contents. To derive an optimal uploading scheme is proved to be NP-hard. Accordingly, we propose a heuristic algorithm and analyze its effectiveness. The evaluation results towards a real-world dataset demonstrate that the performance of the proposed algorithm is comparable with the optimal results.

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Metadata

Authors
Cai, Z., & Zheng, X.
Venue
IEEE Transactions on Network Science and Engineering
Published
2020-04-01
Volume
7
Issue
2
Pages
766-775
ISSN
  • 2327-4697 (ISSN-L)
  • 2334-329X
OpenAlex
W2800806089
Cited by
553
References
22
FWCI
43.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems. https://app.cochat.ai/papers/10.1109/tnse.2018.2830307
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Cai, Z., & Zheng, X. (2020). A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems. IEEE Transactions on Network Science and Engineering. https://doi.org/10.1109/tnse.2018.2830307

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