DocumentCode :
725821
Title :
On demand for situational awareness for preventing attacks on the smart grid
Author :
Shovgenya, Yegor ; Skopik, Florian ; Theuerkauf, Klaus
Author_Institution :
AIT Austrian Inst. of Technol. GmbH, Vienna, Austria
fYear :
2015
fDate :
8-9 June 2015
Firstpage :
1
Lastpage :
4
Abstract :
Renewable energy sources and widespread small-scale power generators change the structure of the power grid, where actual power consumers also temporarily become suppliers. Smart grids require continuous management of complex operations through utility providers, which leads to increasing interconnections and usage of ICT-enabled industrial control systems. Yet, often insufficiently implemented security mechanisms and the lack of appropriate monitoring solutions will make the smart grid vulnerable to malicious manipulations that may possibly result in severe power outages. Having a thorough understanding about the operational characteristics of smart grids, supported by clearly defined policies and processes, will be essential to establishing situational awareness, and thus, the first step for ensuring security and safety of the power supply.
Keywords :
electric generators; electricity supply industry; industrial control; power consumption; power generation control; power generation reliability; power system interconnection; power system management; power system security; renewable energy sources; smart power grids; ICT-enabled industrial control system; actual power consumer; implemented security mechanism; power supply safety; power supply security; renewable energy source; situational awareness; small-scale power generator; smart power grid; Europe; Generators; Power generation; Renewable energy sources; Security; Smart grids; Smart meters; industrial control systems; situational awareness; smart generator; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), 2015 International Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/CyberSA.2015.7166133
Filename :
7166133
Link To Document :
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