Improving the safety of distributed cyber-physical systems against false data injection attack by establishing interconnections

Yuchen Jiang, Jingwei Dong, Shen Yin

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

The fourth industrial revolution is elevating the overall flexibility and controllability of the production processes, leading to better consistency in quality and improved feasibility of personalization. However, an evident downside is observed from the boosting system openness because the security and safety protocols are not ready for the potential impacts and threats. In this work, an in-depth analysis about the novel challenges is firstly presented. Then, the mechanism of false data injection attack on the industrial cyber-physical systems is studied. The target is to reveal the condition when the existing fault diagnosis systems fail to detect the false data injection attack on the distributed and networked systems. A theorem is proposed to support the discussions. It is elaborated that establishing interconnections between the subsystems will help prevent undetectable attacks, and thus improving the systems' safety.

Original languageEnglish
Title of host publicationProceedings - IECON 2020
Subtitle of host publication46th Annual Conference of the IEEE Industrial Electronics Society
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages2623-2628
ISBN (Electronic)978-1-7281-5414-5
DOIs
Publication statusPublished - 2020
Event46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore
Duration: 19 Oct 202021 Oct 2020

Conference

Conference46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
CountrySingapore
CityVirtual, Singapore
Period19/10/2021/10/20

Keywords

  • distributed system
  • False data injection
  • fault diagnosis
  • industrial cyber-physical system
  • process monitoring

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