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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Modelling security risk in critical utilities
T2 - 2016 IEEE SMC
AU - Busby, Jeremy Simon
AU - Gouglidis, Antonios
AU - Rass, Stefan
AU - König, Sandra
PY - 2016/10/9
Y1 - 2016/10/9
N2 - It becomes essential when reasoning about the security risks to critical utilities such electrical power and water distribution to recognize that the interests of producers and consumers do not fully coincide. They may have incentives to behave strategically towards each other, as well as toward some third party adversary. We therefore argue for the need to extend the prior literature, which has concentrated on the strategic, adaptive game between adversary and defender, towards 3-player games. But it becomes hard to justify modelling a population of consumers as a single, decision making actor. So we also show how we can model consumers as a group of mutually-influencing, yet not centrally co-ordinated, heterogeneous agents. And we suggest how this representation can be integrated into a game-theoretic framework. This requires a framework in which payoffs are known by the players only stochastically. We present some basic models and demonstrate the nature of the modelling commitments that need to be made in order to reason about utilities’ security risk.
AB - It becomes essential when reasoning about the security risks to critical utilities such electrical power and water distribution to recognize that the interests of producers and consumers do not fully coincide. They may have incentives to behave strategically towards each other, as well as toward some third party adversary. We therefore argue for the need to extend the prior literature, which has concentrated on the strategic, adaptive game between adversary and defender, towards 3-player games. But it becomes hard to justify modelling a population of consumers as a single, decision making actor. So we also show how we can model consumers as a group of mutually-influencing, yet not centrally co-ordinated, heterogeneous agents. And we suggest how this representation can be integrated into a game-theoretic framework. This requires a framework in which payoffs are known by the players only stochastically. We present some basic models and demonstrate the nature of the modelling commitments that need to be made in order to reason about utilities’ security risk.
M3 - Conference contribution/Paper
BT - Proceedings of SMC 2016
PB - IEEE
Y2 - 9 October 2016
ER -