DocumentCode :
592219
Title :
On the efficiency-vs-security tradeoff in the smart grid
Author :
Abdallah, Y. ; Zizhan Zheng ; Shroff, Ness B. ; El Gamal, Hesham
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
1954
Lastpage :
1959
Abstract :
The smart grid is envisioned to significantly enhance the efficiency of energy consumption, by utilizing two-way communication channels between consumers and operators. For example, operators can opportunistically leverage the delay tolerance of energy demands in order to balance the energy load over time, and hence, reduce the total operational cost. This opportunity, however, comes with security threats, as the grid becomes more vulnerable to cyber-attacks. In this paper, we study the impact of such malicious cyber-attacks on the energy efficiency of the grid in a simplified setup. More precisely, we consider a simple model where the energy demands of the smart grid consumers are intercepted and altered by an active attacker before they arrive at the operator, who is equipped with limited intrusion detection capabilities. We formulate the resulting optimization problems faced by the operator and the attacker and propose several scheduling and attack strategies for both parties. Interestingly, our results show that, as opposed to facilitating cost reduction in the smart grid, increasing the delay tolerance of the energy demands potentially allows the attacker to force increased costs on the system. This highlights the need for carefully constructed and robust intrusion detection mechanisms at the operator.
Keywords :
security of data; active attacker; attack strategy; communication channels; energy consumption; energy efficiency; malicious cyber attacks; optimization problems; robust intrusion detection mechanism; smart grid consumers; Communication channels; Delay; Heuristic algorithms; Optimization; Partitioning algorithms; Schedules; Smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6425909
Filename :
6425909
Link To Document :
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