Contextual anomaly detection for cyber-physical security in Smart Grids based on an artificial neural network model

Anna Magdalena Kosek

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper presents a contextual anomaly detection method and its use in the discovery of malicious voltage control actions in the low voltage distribution grid. The model-based anomaly detection uses an artificial neural network model to identify a distributed energy resource’s behaviour under control. An intrusion detection system observes distributed energy resource’s behaviour, control actions and the power system impact, and is tested together with an ongoing voltage control attack in a co-simulation set-up. The simulation results obtained with a real photovoltaic rooftop power plant data show that the contextual anomaly detection performs on average 55% better in the control detection and over 56% better in the malicious control detection over the point anomaly detection.
Original languageEnglish
Title of host publication2016 Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids
Number of pages6
PublisherIEEE
Publication date2016
ISBN (Print)978-1-5090-1164-3
DOIs
Publication statusPublished - 2016
Event2016 Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids - CPSweek2016, Vienna, Austria
Duration: 12 Apr 201612 Apr 2016
http://www.salvage-project.com/cpsr-sg-2016.html

Workshop

Workshop2016 Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids
LocationCPSweek2016
CountryAustria
CityVienna
Period12/04/201612/04/2016
Internet address

Keywords

  • Anomaly detection
  • Intrusion Detection Systems
  • Smart grid
  • Data analysis
  • Cyber-physical security

Activities

  • 1 Participating in or organising a conference

2016 Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids

Anna Magdalena Kosek (Organizer)

12 Apr 2016

Activity: Attending an eventParticipating in or organising a conference

Cite this

Kosek, A. M. (2016). Contextual anomaly detection for cyber-physical security in Smart Grids based on an artificial neural network model. In 2016 Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids IEEE. https://doi.org/10.1109/CPSRSG.2016.7684103