Design of Differential Privacy Protection Algorithms for Cyber-Physical Systems

Yue Zhang, Xiaoya Nan, Jialing Zhou, Shuai Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-34
Number of pages6
ISBN (Electronic)9781665456197
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022 - Changsha, China
Duration: 15 Oct 202217 Oct 2022

Publication series

Name2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022

Conference

Conference2022 International Conference on Intelligent Systems and Computational Intelligence, ICISCI 2022
Country/TerritoryChina
CityChangsha
Period15/10/2217/10/22

Keywords

  • Cyber-physical system
  • Laplace mechanism
  • differential privacy consistency

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