Secure and Resilient Design of Could-Enabled CPS

Quanyan Zhu, Zhiheng Xu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Cloud computing enables resource-constrained CPSs to outsource heavy computations to a cloud server with massive computational resources. However, Cloud-Enabled CPSs introduce new challenges arising from the trustworthiness of the cloud and the cyber-physical connections between the control system and the cloud. To address these concerns, this chapter presents a secure and resilient mechanism, which employs customized cryptographic tools to encrypt the data of a control problem and develops verification methods to guarantee the integrity of the computational results from the cloud. In addition, our design enables a Switching Mode Mechanism (SMM) to provide resiliency to the CPSs when the system successively fails to receive correct control inputs from the cloud. We demonstrate that the mechanism can achieve data confidentiality and integrity, guarantee the stability, and enhance the resiliency. Finally, an Unmanned Aerial Vehicle (UAV) example is used to corroborate these properties.

Original languageEnglish (US)
Title of host publicationAdvances in Information Security
PublisherSpringer
Pages25-41
Number of pages17
DOIs
StatePublished - 2020

Publication series

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

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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