FEIT Research Project Database

Privacy of dynamical systems

Project Leader: Farhad Farokhi
Collaborators: Iman Shames (Department of Electrical and Electronic Engineering), Michael Cantoni (Department of Electrical and Electronic Engineering)
Sponsors: The University of Melbourne
Primary Contact: Farhad Farokhi (farhad.farokhi@unimelb.edu.au)
Keywords: control and signal processing; cryptography; cybersecurity; data privacy; information theory
Disciplines: Electrical & Electronic Engineering

Differential privacy is a natural candidate to alleviate privacy concerns in general. However, differential privacy literature most often deals with providing privacy-preserving responses to queries based on large, yet static datasets that are kept securely by a data curator while, in real-time analytics, the underlying data in possession of the curator changes over time. The composition rule of differential privacy implies that the magnitude of the additive noise that ensures differential privacy must grow rapidly, or that the privacy budget of each response must decrease correspondingly, to ensure that the entire privacy budget remains bounded. In information-theoretic privacy, so far, nothing is known about dynamic scenarios as well, ie, when the underlying dataset evolves overtime and responses to queries must be provided continually. Multi-party secure computation and homomorphic encryption techniques are also rarely used in real-time control when fast decisions are required. Therefore, there is a need to investigate privacy of dynamical systems.

Further information: http://farokhi.xyz/2020/02/24/privacy-of-dynamical-systems/