Abstract
The increasing complexity of securing modern computer networks makes decision support systems an important tool for administrators. A challenge many existing tools fail to address is that attackers react strategically to new security measures, adapting their behaviors in response. Game theory provides a methodology for making decisions that takes into account these reactions, rather than assuming static attackers. The authors present an overview of how game theory can be used to inform one type of security decision: how to optimally place honeypots in a network. They demonstrate this approach on a realistic case study and present initial validation results based on a study comparing their approach with human decision makers.
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