Stealth Attacks in Microgrids: Modeling Principles and Detection

Annavaram Devakumar, Subham Sahoo, Sukumar Mishra

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
51 Downloads (Pure)

Abstract

This paper proposes a attack index to detect stealth attacks on current sensor information in a distributed controlled dc microgrids. Stealth attacks are considered the intelligent false data injection attack where it satisfies consensus algorithm objectives in the secondary control. This particular study is carried out on a secondary controller, which is highly prone to cyber-attacks due to involved communication. An attack index (AI) is calculated to detect the stealth attack on the current sensor information, which effectively identifies the stealth attack with existing low bandwidth communication. A stealth attack on current sensor information to the dc microgrid's secondary controller is simulated using Matlab/Simulink environment, and attack detection results are presented and verified with the experimental results.
Original languageEnglish
Title of host publication2021 9th IEEE International Conference on Power Systems (ICPS)
PublisherIEEE
Publication date2021
ISBN (Print)978-1-6654-2874-3
ISBN (Electronic)978-1-6654-2873-6
DOIs
Publication statusPublished - 2021
Event9th IEEE International Conference on Power Systems, ICPS 2021 - Virtual, Online, India
Duration: 16 Dec 202118 Dec 2021

Conference

Conference9th IEEE International Conference on Power Systems, ICPS 2021
Country/TerritoryIndia
CityVirtual, Online
Period16/12/202118/12/2021
SponsorCentral Power Research Institute (CPRI), CESC Limited, NPTi, Opal-RT Technologies, POSOCO, PowerGrid

Keywords

  • Microgrids
  • Cyber Attacks
  • Cybersecurity
  • Stealth attack
  • Modeling
  • Attack Detection
  • Controllers
  • Design analysis

Fingerprint

Dive into the research topics of 'Stealth Attacks in Microgrids: Modeling Principles and Detection'. Together they form a unique fingerprint.

Cite this