A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems
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 uplo...
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| Published in | IEEE transactions on network science and engineering Vol. 7; no. 2; pp. 766 - 775 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
01.04.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| 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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| AbstractList | 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. |
| Author | Cai, Zhipeng Zheng, Xu |
| Author_xml | – sequence: 1 givenname: Zhipeng orcidid: 0000-0001-6017-975X surname: Cai fullname: Cai, Zhipeng email: zcai@gsu.edu organization: Department of Computer Science, Georgia State University, Atlanta, GA, USA – sequence: 2 givenname: Xu orcidid: 0000-0001-8576-4402 surname: Zheng fullname: Zheng, Xu email: xzheng7@student.gsu.edu organization: Department of Computer Science, Georgia State University, Atlanta, GA, USA |
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| SubjectTerms | Algorithms Cyber-physical systems Data privacy Data uploading Energy conservation Energy efficiency Heuristic algorithms Heuristic methods Preservation Privacy privacy preservation Sensors Smart cyber-physical systems Task analysis |
| Title | A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems |
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