摘要
A new privacy Laplace common recognition algorithm is designed to protect users' privacy data in this paper. This algorithm disturbs state transitions and information generation functions using exponentially decaying Laplace noise to avoid attacks. The mean square consistency and privacy protection performance are further studied. Finally, the theoretical results obtained are verified by performing numerical simulations.
源语言 | 英语 |
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主期刊名 | 2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022 |
出版商 | Institute of Electrical and Electronics Engineers Inc. |
页 | 29-34 |
页数 | 6 |
ISBN(电子版) | 9781665456197 |
DOI | |
出版状态 | 已出版 - 2022 |
已对外发布 | 是 |
活动 | 2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022 - Changsha, 中国 期限: 15 10月 2022 → 17 10月 2022 |
出版系列
姓名 | 2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022 |
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会议
会议 | 2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022 |
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国家/地区 | 中国 |
市 | Changsha |
时期 | 15/10/22 → 17/10/22 |
指纹
探究 'Design of Differential Privacy Protection Algorithms for Cyber-Physical Systems' 的科研主题。它们共同构成独一无二的指纹。引用此
Zhang, Y., Nan, X., Zhou, J., & Wang, S. (2022). Design of Differential Privacy Protection Algorithms for Cyber-Physical Systems. 在 2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022 (页码 29-34). (2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICISCI53188.2022.9941466