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Poster: Modeling of APT Attacks through Transforming Attack Scenarios into DEVS Models

Detection and prevention of sophisticated cyber- attacks are challenging. Advanced persistent threat (APT) attacks are one of the most visible attacks that can show such attack trends. Predicting and defending APT attacks are difficult due to a variety of attacks conducted at each stage. Simulations can be a safer and cheaper way of developing countermeasures as well as analyzing such attacks. Modeling cyber-attacks depends on attack scenarios and abstraction levels according to simulation purposes. The simulation models would vary even when we model a same attack. It is very hard to model a variety of attack scenarios due to a lack of modeling methodology in cyber-security area. In this paper, we propose a method for modeling APT attacks by transforming attack scenarios into DEVS (Discrete EVent system Specification) simulation models. DEVS is a modular and hierarchical formalism to specify discrete event systems. Modeling cyber-attacks as DEVS models enables us to reuse the modularized models for other scenarios. It is also easy to implement and execute the models using DEVS simulation engines.