Exploiting adversary's risk profiles in imperfect information security games

Abstract

At present much of the research which proposes to provide solutions to Imperfect Information Non-Cooperative games provides superficial analysis which then requires a priori knowledge of the game to be played. We propose that High Card, a simple Multiplayer Imperfect Information Adversarial game, provides a more robust model for such games, and further, that these games may model situations of real world security and international interest. We have formulated two such real world models, and have created a modeling bot, which when facing adversaries with equal or better performing risk profiles, achieves a 7-fold increase in win performance. © 2011 Springer-Verlag.