6 papers
Data-Driven Control from Poisoned Data: Fundamental Limitations and Secure DeePC
Takumi Shinohara, Henrik Sandberg, Karl Henrik Johansson
We study a data-driven control problem in the presence of arbitrary data poisoning attacks. We assume that a subset of offline output data is stored in unprotected locations and ma…
Data-Driven Unknown Input Reconstruction for MIMO Systems with Convergence Guarantees
Enno Breukelman, Takumi Shinohara, Joowon Lee +1
In this paper, we consider data-driven reconstruction of unknown inputs for deterministic, linear time-invariant (LTI) multiple-input multiple-output (MIMO) systems. We propose a n…
Security Index from Input/Output Data: Theory and Computation
Takumi Shinohara, Karl H. Johansson, Henrik Sandberg
The concept of a security index quantifies the minimum number of components that must be compromised to carry out a stealth attack. This metric enables system operators to assess t…
Detection and Identification of Sensor Attacks Using Partially Attack-Free Data
Takumi Shinohara, Karl H. Johansson, Henrik Sandberg
In this paper, we investigate data-driven attack detection and identification in a model-free setting. We consider a practically motivated scenario in which the available dataset m…
Data-Driven Resilience Assessment against Sparse Sensor Attacks
Takumi Shinohara, Karl Henrik Johansson, Henrik Sandberg
We develop a data-driven framework for assessing the resilience of linear time-invariant systems against malicious false-data-injection sensor attacks. Leveraging sparse observabil…
Distributed Resilient State Estimation and Control with Strategically Implemented Security Measures
Takumi Shinohara, Karl H. Johansson, Henrik Sandberg
This paper addresses the problem of distributed resilient state estimation and control for linear time-invariant systems in the presence of malicious false data injection sensor at…