Secure Estimation of CPS with a Digital Twin

Quanyan Zhu, Zhiheng Xu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Cyber-Physical Systems (CPSs) play an increasingly significant role in many critical applications. These valuable applications attract various sophisticated attacks. This chapter considers a stealthy estimation attack, which aims to modify the state estimation of the CPSs. The intelligent attackers can learn defense strategies and use clandestine attack strategies to avoid detection. To address the issue, we design a Chi-square detector in a Digital Twin (DT), which is an online digital model of the physical system. We use a Signaling Game with Evidence (SGE) to find the optimal attack and defense strategies. Our analytical results show that the proposed defense strategies can mitigate the impact of the attack on the physical estimation and guarantee the stability of the CPSs. Finally, we use an illustrative application to evaluate the performance of the proposed framework.

Original languageEnglish (US)
Title of host publicationAdvances in Information Security
PublisherSpringer
Pages115-138
Number of pages24
DOIs
StatePublished - 2020

Publication series

NameAdvances in Information Security
Volume81
ISSN (Print)1568-2633

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Secure Estimation of CPS with a Digital Twin'. Together they form a unique fingerprint.

Cite this