kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Disconnection-aware Attack Detection in Networked Control Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-8598-0348
Tokyo Inst Technol, Tokyo 1528552, Japan..
Tokyo Inst Technol, Tokyo 1528552, Japan..
KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-1835-2963
2020 (English)In: IFAC PAPERSONLINE, Elsevier BV , 2020, Vol. 53, no 2, p. 3515-3520Conference paper, Published paper (Refereed)
Abstract [en]

This study deals with security issues in dynamical networked control systems. The goal is to establish a unified framework of the attack detection stage, which includes the four processes of monitoring the system state, making a decision based on the monitored signal, disconnecting the corrupted subsystem, and operating the remaining system during restoration. This paper, in particular, considers a disconnection-aware attack detector design problem. Traditionally, observer-based attack detectors are designed based on the system model with a fixed network topology and cannot cope with a change of the topology caused by disconnection. The disconnection-aware design problem is mathematically formulated and a solution is proposed in this paper. A numerical example demonstrates the effectiveness of the proposed detector through an inverter-based voltage control system in a benchmark model. 

Place, publisher, year, edition, pages
Elsevier BV , 2020. Vol. 53, no 2, p. 3515-3520
Keywords [en]
Detection algorithms, distributed detection, large-scale systems, networks, on-line security analysis, system security
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-297998DOI: 10.1016/j.ifacol.2020.12.1710ISI: 000652592500567Scopus ID: 2-s2.0-85098368830OAI: oai:DiVA.org:kth-297998DiVA, id: diva2:1574944
Conference
21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, JUL 11-17, 2020, ELECTR NETWORK
Note

QC 20210629

Available from: 2021-06-29 Created: 2021-06-29 Last updated: 2022-06-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Sasahara, HampeiSandberg, Henrik

Search in DiVA

By author/editor
Sasahara, HampeiSandberg, Henrik
By organisation
Decision and Control Systems (Automatic Control)ACCESS Linnaeus Centre
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 93 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf