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cs.LG2025
A Modular Framework for Rapidly Building Intrusion Predictors
Xiaoxuan Wang, Rolf Stadler
We study automated intrusion prediction in an IT system using statistical learning methods. The focus is on developing online attack predictors that detect attacks in real time and…
cs.LG2025
Learning Optimal Defender Strategies for CAGE-2 using a POMDP Model
Duc Huy Le, Rolf Stadler
CAGE-2 is an accepted benchmark for learning and evaluating defender strategies against cyberattacks. It reflects a scenario where a defender agent protects an IT infrastructure ag…
cs.LG2024
IT Intrusion Detection Using Statistical Learning and Testbed Measurements
Xiaoxuan Wang, Rolf Stadler
We study automated intrusion detection in an IT infrastructure, specifically the problem of identifying the start of an attack, the type of attack, and the sequence of actions an a…