Secure estimation based Kalman Filter for cyber–physical systems against sensor attacks

Young Hwan Chang, Qie Hu, Claire J. Tomlin

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

Cyber–physical systems are found in many applications such as power networks, manufacturing processes, and air and ground transportation systems. Maintaining security of these systems under cyber attacks is an important and challenging task, since these attacks can be erratic and thus difficult to model. Secure estimation problems study how to estimate the true system states when measurements are corrupted and/or control inputs are compromised by attackers. The authors in Fawzi et al. (2014) proposed a secure estimation method when the set of attacked nodes (sensors, controllers) is fixed. In this paper, we extend these results to scenarios in which the set of attacked nodes can change over time. We formulate this secure estimation problem into the classical error correction problem (Candes and Tao, 2005) and we show that accurate decoding can be guaranteed. Furthermore, we propose a combined secure estimation method with our proposed secure estimator and the Kalman Filter for improved practical performance. Finally, we demonstrate the performance of our method through simulations of two scenarios where an unmanned aerial vehicle is under attack.

Original languageEnglish (US)
Pages (from-to)399-412
Number of pages14
JournalAutomatica
Volume95
DOIs
StatePublished - Sep 1 2018

Keywords

  • Cyber–physical systems
  • Error correction
  • Secure estimation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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