Session-level Adversary Intent-Driven Cyberattack Simulator
| Authors | |
|---|---|
| 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 | |
| Citation | |
| Web | https://dl.acm.org/doi/abs/10.5555/3451906.3451908 |
| 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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