174 citations · 183 across the 6 of their papers we have counts for
6 papers
Online Identification of IT Systems through Active Causal Learning
Kim Hammar, Rolf Stadler
Identifying a causal model of an IT system is fundamental to many branches of systems engineering and operation. Such a model can be used to predict the effects of control actions,…
Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search
Kim Hammar, Neil Dhir, Rolf Stadler
The CAGE-2 challenge is considered a standard benchmark to compare methods for autonomous cyber defense. Current state-of-the-art methods evaluated against this benchmark are based…
Intrusion Tolerance for Networked Systems through Two-Level Feedback Control
Kim Hammar, Rolf Stadler
We formulate intrusion tolerance for a system with service replicas as a two-level optimal control problem. On the local level node controllers perform intrusion recovery, and on t…
Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games
Tao Li, Kim Hammar, Rolf Stadler +1
Asymmetric information stochastic games (AISGs) arise in many complex socio-technical systems, such as cyber-physical systems and IT infrastructures. Existing computational methods…
Automated Security Response through Online Learning with Adaptive Conjectures
Kim Hammar, Tao Li, Rolf Stadler +1
We study automated security response for an IT infrastructure and formulate the interaction between an attacker and a defender as a partially observed, non-stationary game. We rela…
Scalable Learning of Intrusion Responses through Recursive Decomposition
Kim Hammar, Rolf Stadler
We study automated intrusion response for an IT infrastructure and formulate the interaction between an attacker and a defender as a partially observed stochastic game. To solve th…