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
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