Anomaly behavior analysis for smart grid automation system

Angel Orozco, Jesus Pacheco, Salim A Hariri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Urban Internet of Things systems are characterized by their application domain and they are designed to support the Smart City (SC) vision. The SC objective is to exploit advanced communication technologies to support the delivery of high quality services. A key element in a SC is the Smart Grid System (SGS), which is meant to be more efficient, reliable, and secure in managing electric power resources. SGS rely in the collection and analysis of data coming from devices such as sensors across the grid, which allow automated systems to perform advanced actions to accomplish its goals of efficiency and reliability. However, with the use of SGS, we are experiencing grand security challenges to protect such advanced and complex systems against errors and cyberattacks. In this work, we present an anomaly behavior analysis (ABA) system to detect and categorize several fault scenarios that may occur in SGSs. We tested our approach to detect normal operations, physical failures, and cyber-attacks. We applied our ABA methodology to a smart phasor measurement unit (PMU) to analyze, identify, and categorize the different SGS behaviors. The results show that our methodology can be used to accurately detect threats in both SGS and PMU with high detection rates and low false alarms.

Original languageEnglish (US)
Title of host publication2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
Volume2018-January
ISBN (Electronic)9781538608197
DOIs
StatePublished - Jan 16 2018
Event2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017 - Ixtapa, Guerrero, Mexico
Duration: Nov 8 2017Nov 10 2017

Other

Other2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
CountryMexico
CityIxtapa, Guerrero
Period11/8/1711/10/17

Fingerprint

Phasor measurement units
Automation
Large scale systems
Communication
Sensors
Smart city
Internet of things

Keywords

  • anomaly behavior analysis
  • Internet of Things
  • Phasor Measurement Unit
  • Smart Cities
  • smart grid

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Orozco, A., Pacheco, J., & Hariri, S. A. (2018). Anomaly behavior analysis for smart grid automation system. In 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017 (Vol. 2018-January, pp. 1-7). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROPEC.2017.8261614

Anomaly behavior analysis for smart grid automation system. / Orozco, Angel; Pacheco, Jesus; Hariri, Salim A.

2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-7.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Orozco, A, Pacheco, J & Hariri, SA 2018, Anomaly behavior analysis for smart grid automation system. in 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-7, 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017, Ixtapa, Guerrero, Mexico, 11/8/17. https://doi.org/10.1109/ROPEC.2017.8261614
Orozco A, Pacheco J, Hariri SA. Anomaly behavior analysis for smart grid automation system. In 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-7 https://doi.org/10.1109/ROPEC.2017.8261614
Orozco, Angel ; Pacheco, Jesus ; Hariri, Salim A. / Anomaly behavior analysis for smart grid automation system. 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-7
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