TY - JOUR
T1 - Privatized distributed anomaly detection for large-scale nonlinear uncertain systems
AU - Rostampour, Vahab
AU - Ferrari, Riccardo M.G.
AU - Teixeira, Andre M.H.
AU - Keviczky, Tamas
PY - 2020
Y1 - 2020
N2 - In this paper two limitations in current distributed model based approaches for anomaly detection in large-scale uncertain nonlinear systems are addressed. The first limitation regards the high conservativeness of deterministic detection thresholds, against which a novel family of set-based thresholds is proposed. Such set-based thresholds are defined in a way to guarantee robustness in a user-defined probabilistic sense, rather than a deterministic sense. They are obtained by solving a chance-constrained optimization problem, thanks to a randomization technique based on the Scenario Approach. The second limitation regards the requirement, in distributed anomaly detection architectures, for different parties to regularly communicate local measurements. In settings where these parties want to preserve their privacy, communication may be undesirable. In order to preserve privacy and still allow for distributed detection to be implemented, a novel privacy-preserving mechanism is proposed and a so-called privatized communication protocol is introduced. Theoretical guarantees on the achievable level of privacy, along with a characterization of the robustness properties of the proposed
AB - In this paper two limitations in current distributed model based approaches for anomaly detection in large-scale uncertain nonlinear systems are addressed. The first limitation regards the high conservativeness of deterministic detection thresholds, against which a novel family of set-based thresholds is proposed. Such set-based thresholds are defined in a way to guarantee robustness in a user-defined probabilistic sense, rather than a deterministic sense. They are obtained by solving a chance-constrained optimization problem, thanks to a randomization technique based on the Scenario Approach. The second limitation regards the requirement, in distributed anomaly detection architectures, for different parties to regularly communicate local measurements. In settings where these parties want to preserve their privacy, communication may be undesirable. In order to preserve privacy and still allow for distributed detection to be implemented, a novel privacy-preserving mechanism is proposed and a so-called privatized communication protocol is introduced. Theoretical guarantees on the achievable level of privacy, along with a characterization of the robustness properties of the proposed
KW - Anomaly detection
KW - Integrated circuit interconnections
KW - Measurement uncertainty
KW - Monitoring
KW - Privacy
KW - Probabilistic logic
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85097188970&partnerID=8YFLogxK
U2 - 10.1109/TAC.2020.3040251
DO - 10.1109/TAC.2020.3040251
M3 - Article
AN - SCOPUS:85097188970
JO - IEEE Transactions on Automatic Control
JF - IEEE Transactions on Automatic Control
SN - 0018-9286
ER -