DocumentCode :
3134879
Title :
Cyber security for Smart Grid: A human-automation interaction framework
Author :
Boroomand, F. ; Fereidunian, A. ; Zamani, M.A. ; Amozegar, M. ; Jamalabadi, H.R. ; Nasrollahi, H. ; Moghimi, M. ; Lesani, H. ; Lucas, C.
Author_Institution :
ECE Dept., Concordia Univ., Montreal, QC, Canada
fYear :
2010
fDate :
11-13 Oct. 2010
Firstpage :
1
Lastpage :
6
Abstract :
Power grid cyber security is turning into a vital concern, while we are moving from the traditional power grid toward modern Smart Grid (SG). To achieve the smart grid objectives, development of Information Technology (IT) infrastructure and computer based automation is necessary. This development makes the smart grid more prone to the cyber attacks. This paper presents a cyber security strategy for the smart grid based on Human Automation Interaction (HAI) theory and especially Adaptive Autonomy (AA) concept. We scheme an adaptive Level of Automation (LOA) for Supervisory Control and Data Acquisition (SCADA) systems. This level of automation will be adapted to some environmental conditions which are presented in this paper. The paper presents a brief background, methodology (methodology design), implementation and discussions.
Keywords :
SCADA systems; information technology; power system control; power system security; smart power grids; Cyber security; SCADA system; adaptive Level of automation; adaptive autonomy; computer based automation; human-automation interaction; information technology; smart power grid; supervisory control and data acquisition system; Automation; Computer security; Educational institutions; Humans; SCADA systems; Smart grids; adaptive autonomy; cyber security; human automation interaction; performance shaping factor; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 2010 IEEE PES
Conference_Location :
Gothenburg
Print_ISBN :
978-1-4244-8508-6
Electronic_ISBN :
978-1-4244-8509-3
Type :
conf
DOI :
10.1109/ISGTEUROPE.2010.5638949
Filename :
5638949
Link To Document :
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