DocumentCode :
2380252
Title :
A novel architecture against false data injection attacks in smart grid
Author :
Bhattarai, Sulabh ; Ge, Linqiang ; Yu, Wei
Author_Institution :
Towson Univ., Towson, MD, USA
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
907
Lastpage :
911
Abstract :
Smart Grid is a new type of power grid that will provide reliable, secure, and efficient energy transmission and distribution. Cyber attacks against data readmission system threaten the security of smart grid. Hence, identifying and preventing the false data injection as early as possible becomes a critical issue. However, there is no existing solution that considers all aspects such as deployment cost and system efficiency. In this paper, we apply a light-weight watermarking technique to defend against false data injection attacks. To be specific, we add a secure watermark to real-time meter readings and transmit the watermarked data through high speed unsecured network. The utility can then correlate the watermarked data with the original watermark to detect the presence of false data injected by adversary. Our simulation results show that watermarking technique can effectively detect any false manipulation to the watermarked data at low cost.
Keywords :
power engineering computing; power meters; power system economics; power system security; smart power grids; watermarking; architecture; cyber attack; data readmission system; deployment cost; efficient energy transmission; energy distribution; false data injection attack; false manipulation detection; high speed unsecured network; light-weight watermarking technique; power grid; real-time meter reading; reliable energy transmission; secure energy transmission; secure watermark; security; smart grid; system efficiency; watermarked data transmission; Demodulation; Meter reading; Sensors; Smart grids; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6364511
Filename :
6364511
Link To Document :
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