Playing Poker with Cyber Criminals
The security industry puts a lot of effort and resources into hardening computer networks, their monitoring, and fast reaction to any security incidents. Cybercriminals put a lot of effort and resources into finding security holes, hiding their activity, and performing the attacks. Each side is learning about the techniques used by the opponents, anticipating opponent’s moves, and improving their strategies. This high-stakes game is continuously played since the early days of the internet.
Recent years have brought rapid progress in AI and machine learning, which has often been showcased in games, be it Go, Poker, or StarCraft. I will talk about similarities and differences between the games played by recent computer programs and the games played in real-world security scenarios. I will summarize the existing results, where game theoretic reasoning has been successful in network security scenarios and evaluate its potential in near future.
Viliam Lisy is a senior research scientist in the Technology and Innovation Office at Avast. He also works as an assistant professor at the Artificial Intelligence Center at the Department of Computer Science at the Czech Technical University (CTU) in Prague, where he and his colleagues lead a research group dealing with game theory.
He graduated from CTU, Vrije Universiteit in Amsterdam, and Charles University in Prague. He worked as a postdoctoral fellow with Michael Bowling at the University of Alberta in Canada.
During his studies, he worked at Carnegie Mellon University, Ben Gurion University, and Phillips Innovation Labs. In his research, Viliam focuses mainly on sequential games with incomplete information and applications of game theory in practice.
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