On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach

Carlos Murguia; Iman Shames; Farhad Farokhi; Dragan Nesic; H Vincent Poor

Journal article

On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach

Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic, H Vincent Poor

IEEE Transactions on Information Forensics and Security | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2021

DOI: 10.1109/TIFS.2021.3055022

University of Melbourne Researchers

Dragan Nesic Author Electrical and Electronic Engineering

Farhad Farokhi Author Electrical and Electronic Engineering

Iman Shames Author Electrical and Electronic Engineering

Related Projects (1)

Modeling, analysis and design of secure networked control systems

This project aims to develop models, design and analysis techniques for secure Networked Control Systems (NCS). These could control large-sc..

Grants

Awarded by Australian Research Council (ARC)

Awarded by NATO Science for Peace and Security (SPS) Programme

Awarded by U.S. National Science Foundation

Funding Acknowledgements

This work was supported in part by the Australian Research Council (ARC) under Project DP170104099, in part by the NATO Science for Peace and Security (SPS) Programme under Project SPS.SFP G5479, in part by the Schmidt Data-X Grant from the Princeton Center for Statistics and Machine Learning, and in part by the U.S. National Science Foundation under Grant CCF-1908308. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Eduard A. Jorswieck.