Anomaly behavior analysis for smart grid automation system

Angel Orozco, Jesus Pacheco, Salim Hariri

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-7
Número de páginas7
Volumen2018-January
ISBN (versión digital)9781538608197
DOI
EstadoPublicada - 16 ene 2018
Publicado de forma externa
Evento2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017 - Ixtapa, Guerrero, México
Duración: 8 nov 201710 nov 2017

Conferencia

Conferencia2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
PaísMéxico
CiudadIxtapa, Guerrero
Período8/11/1710/11/17

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  • Citar esto

    Orozco, A., Pacheco, J., & Hariri, S. (2018). Anomaly behavior analysis for smart grid automation system. En 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