DocumentCode :
252399
Title :
Determine information security features for smart grid through constructing a threat model
Author :
Yu Tso Chen ; Yu Chi Ko
Author_Institution :
Nat. United Univ., Miaoli, Taiwan
fYear :
2014
fDate :
13-15 Dec. 2014
Firstpage :
755
Lastpage :
760
Abstract :
As the global warming has been a fearsome threat to environmental sustainability, the application of smart grid plays a vital role that may provide considerable solutions to advance energy management as well as reduce CO2 emission. However, due to the information exchange on Smart Grid network (SGN), the accompanying information security attacks will affect the reliability and usability of Smart Grid applications. For solving this problem, this paper presents an investigation aiming at analyzing information security risks on SGN through constructing a threat model. The proposed threat model beneficial to determining information security functional features for SGN may contribute to not only academic research on energy related system integration but also practical studies regarding to ICT-supported secure energy management system.
Keywords :
power engineering computing; power system security; risk analysis; security of data; smart power grids; ICT-supported secure energy management system; SGN; energy related system integration; information security feature determination; information security functional features; information security risks analysis; smart grid network; threat model construction; Analytical models; Electricity; Information security; Power generation; Smart grids; Smart meters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Integration (SII), 2014 IEEE/SICE International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-6942-5
Type :
conf
DOI :
10.1109/SII.2014.7028133
Filename :
7028133
Link To Document :
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