One of the major trends in research on Intrusion Response Systems is to use a model of the system to be protected and/or a model of the attacker to predict the evolution of the system and of the strategy of the attacker. However, very often, modeled systems exhibit a non-stationary behavior due to changes in their configuration, in the software base and in the users behavior. If not properly captured by the system model, such a non-stationary behavior could lead to divergences between the expected and the actual behaviors, thus invalidating the model-based approach. In this paper, we introduce a model-free technique for self-defense of non-stationary systems based on Q-Learning. We experimentally show that the proposed approach is able to effectively capture the dynamics of the underlying system and quickly adapts to changes in the environment.
Iannucci, S., Montemaggio, A., Williams, B. (2019). Towards Self-Defense of Non-Stationary Systems. In 2019 International Conference on Computing, Networking and Communications, ICNC 2019 (pp.250-254). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICCNC.2019.8685487].
Towards Self-Defense of Non-Stationary Systems
Iannucci S.
;
2019-01-01
Abstract
One of the major trends in research on Intrusion Response Systems is to use a model of the system to be protected and/or a model of the attacker to predict the evolution of the system and of the strategy of the attacker. However, very often, modeled systems exhibit a non-stationary behavior due to changes in their configuration, in the software base and in the users behavior. If not properly captured by the system model, such a non-stationary behavior could lead to divergences between the expected and the actual behaviors, thus invalidating the model-based approach. In this paper, we introduce a model-free technique for self-defense of non-stationary systems based on Q-Learning. We experimentally show that the proposed approach is able to effectively capture the dynamics of the underlying system and quickly adapts to changes in the environment.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
