A High-Utility Differentially Private Mechanism for Space Information Networks
Nowadays, Space Information Networks represented by the satellite internet are developing rapidly. For example, the Starlink of SpaceX plans to provide network access services worldwide and has drawn much attention. To operate and maintain Space Information Networks, e.g., performing collision avoid...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/22/5844 |
| _version_ | 1797464058804305920 |
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| author | Ming Zhuo Wen Huang Leyuan Liu Shijie Zhou Zhiwen Tian |
| author_facet | Ming Zhuo Wen Huang Leyuan Liu Shijie Zhou Zhiwen Tian |
| author_sort | Ming Zhuo |
| collection | DOAJ |
| description | Nowadays, Space Information Networks represented by the satellite internet are developing rapidly. For example, the Starlink of SpaceX plans to provide network access services worldwide and has drawn much attention. To operate and maintain Space Information Networks, e.g., performing collision avoidance maneuvers and forensic investigation, statistic information on networks such as the average of orbital inclination needs to be shared with analysts. However, for some particular reasons, such as safety or confidentiality, accurate information on networks cannot be shared with analysts. To solve this contradiction, we design a differentially private mechanism for the Space Information Network so that the entities of a network can keep accurate information privacy while sharing statistic information. In particular, we extend differentially private mechanisms based on personalized sampling to distributed communication systems such as Space Information Networks. In comparison with other mechanisms, the proposed mechanism has better data utility. Moreover, the proposed mechanism has a hierarchical privacy guarantee. In particular, there are differences between the privacy guarantees made between system entities and between the system and the user. |
| first_indexed | 2024-03-09T18:02:32Z |
| format | Article |
| id | doaj.art-f5b837a826d644ebb0c7387a7f9d76a5 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T18:02:32Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f5b837a826d644ebb0c7387a7f9d76a52023-11-24T09:51:21ZengMDPI AGRemote Sensing2072-42922022-11-011422584410.3390/rs14225844A High-Utility Differentially Private Mechanism for Space Information NetworksMing Zhuo0Wen Huang1Leyuan Liu2Shijie Zhou3Zhiwen Tian4School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaColleague of Computer Science, Sichuan University, Chengdu 610017, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaNowadays, Space Information Networks represented by the satellite internet are developing rapidly. For example, the Starlink of SpaceX plans to provide network access services worldwide and has drawn much attention. To operate and maintain Space Information Networks, e.g., performing collision avoidance maneuvers and forensic investigation, statistic information on networks such as the average of orbital inclination needs to be shared with analysts. However, for some particular reasons, such as safety or confidentiality, accurate information on networks cannot be shared with analysts. To solve this contradiction, we design a differentially private mechanism for the Space Information Network so that the entities of a network can keep accurate information privacy while sharing statistic information. In particular, we extend differentially private mechanisms based on personalized sampling to distributed communication systems such as Space Information Networks. In comparison with other mechanisms, the proposed mechanism has better data utility. Moreover, the proposed mechanism has a hierarchical privacy guarantee. In particular, there are differences between the privacy guarantees made between system entities and between the system and the user.https://www.mdpi.com/2072-4292/14/22/5844space information networkdifferential privacyprivacy protectiondata utilitypersonalized sampling |
| spellingShingle | Ming Zhuo Wen Huang Leyuan Liu Shijie Zhou Zhiwen Tian A High-Utility Differentially Private Mechanism for Space Information Networks Remote Sensing space information network differential privacy privacy protection data utility personalized sampling |
| title | A High-Utility Differentially Private Mechanism for Space Information Networks |
| title_full | A High-Utility Differentially Private Mechanism for Space Information Networks |
| title_fullStr | A High-Utility Differentially Private Mechanism for Space Information Networks |
| title_full_unstemmed | A High-Utility Differentially Private Mechanism for Space Information Networks |
| title_short | A High-Utility Differentially Private Mechanism for Space Information Networks |
| title_sort | high utility differentially private mechanism for space information networks |
| topic | space information network differential privacy privacy protection data utility personalized sampling |
| url | https://www.mdpi.com/2072-4292/14/22/5844 |
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