Law, Yee Wei and Alpcan, Tansu and Palaniswami, Marimuthu and Dey, Subhrakanti (2012) Security games and risk minimization for automatic generation control in smart grid. Lecture Notes in Computer Science. pp. 281-295. ISSN 0302-9743

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Abstract

The power grid, on which most economic activities rely, is a critical infrastructure that must be protected against potential threats. Advanced monitoring technologies at the center of smart grid evolution increase its efficiency but also make it more susceptible to malicious attacks such as false data injection. This paper develops a game-theoretic approach to smart grid security by combining quantitative risk management with decision making on protective measures. Specifically, the consequences of data injection attacks are quantified using a risk assessment process based on simulations. Then, the quantified risks are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints. Security games provide the framework for choosing the best response strategies against attackers in order to minimize potential risks. The theoretical results obtained are demonstrated using numerical examples.

Item Type:	Article
Keywords:	Smart grid; automatic generation control; security games;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	12708
Identification Number:	https://doi.org/10.1007/978-3-642-34266-0_17
Depositing User:	Subhrakanti Dey
Date Deposited:	06 Apr 2020 11:17
Journal or Publication Title:	Lecture Notes in Computer Science
Publisher:	Springer Verlag
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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