Publication details

Session-level Adversary Intent-Driven Cyberattack Simulator

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DRAŠAR Martin MOSKAL Stephen YANG Shanchieh Jay ZAŤKO Pavol

Year of publication 2020
Type Article in Proceedings
Conference DS-RT '20: Proceedings of the IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications
MU Faculty or unit

Institute of Computer Science

Keywords discrete event simulation;adversarial behavior;cyberattack
Description 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.
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