Real-Time Data-Predictive Attack-Recovery for Complex Cyber-Physical Systems

Lin Zhang, Kaustubh Sridhar, Mengyu Liu, Pengyuan Lu, Xin Chen, Fanxin Kong, Oleg Sokolsky, Insup Lee

Research output: Chapter in Book/Entry/PoemConference contribution

9 Scopus citations

Abstract

Cyber-physical systems (CPSs) leverage computations to operate physical objects in real-world environments, and increasingly more CPS-based applications have been designed for life-critical applications. Therefore, any vulnerability in such a system can lead to severe consequences if exploited by adversaries. In this paper, we present a data predictive recovery system to safeguard the CPS from sensor attacks, assuming that we can identify compromised sensors from data. Our recovery system guarantees that the CPS will never encounter unsafe states and will smoothly recover to a target set within a conservative deadline. It also guarantees that the CPS will remain within the target set for a specified period. Major highlights of our paper include (i) the recovery procedure works on nonlinear systems, (ii) the method leverages uncorrupted sensors to relieve uncertainty accumulation, and (iii) an extensive set of experiments on various nonlinear benchmarks that demonstrate our framework's performance and efficiency.

Original languageEnglish (US)
Title of host publicationProceedings - 29th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages209-222
Number of pages14
ISBN (Electronic)9798350321760
DOIs
StatePublished - 2023
Externally publishedYes
Event29th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2023 - San Antonio, United States
Duration: May 9 2023May 12 2023

Publication series

NameProceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS
Volume2023-May
ISSN (Print)1545-3421

Conference

Conference29th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2023
Country/TerritoryUnited States
CitySan Antonio
Period5/9/235/12/23

Keywords

  • cyber-physical systems
  • nonlinear systems
  • real-time recovery
  • security

ASJC Scopus subject areas

  • General Engineering

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