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Drašar, M., Moskal, S., Yang, S., Zat'ko, P..  2020.  Session-level Adversary Intent-Driven Cyberattack Simulator. 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). :1—9.

Recognizing the need for proactive analysis of cyber adversary behavior, this paper presents a new event-driven simulation model and implementation to reveal the efforts needed by attackers who have various entry points into a network. Unlike previous models which focus on the impact of attackers' actions on the defender's infrastructure, this work focuses on the attackers' strategies and actions. By operating on a request-response session level, our model provides an abstraction of how the network infrastructure reacts to access credentials the adversary might have obtained through a variety of strategies. We present the current capabilities of the simulator by showing three variants of Bronze Butler APT on a network with different user access levels.