| Title | Modelling Disruptive APTs targeting Critical Infrastructure using Military Theory |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Meijaard, Yoram, Meiler, Peter-Paul, Allodi, Luca |
| Conference Name | 2021 IEEE European Symposium on Security and Privacy Workshops (EuroS PW) |
| Date Published | sep |
| Keywords | advanced persistent threat, Computer crime, critical infrastructure, cyber situational awareness, Data Model, Data models, Human Behavior, Metrics, pubcrawl, Resiliency, Scalability |
| Abstract | Disruptive Advanced Persistent Threats (D-APTs) are a new sophisticated class of cyberattacks targeting critical infrastructures. Whereas regular APTs are well-described in the literature, no existing APT kill chain model incorporates the disruptive actions of D-APTs and can be used to represent DAPTs in data. To this aim, the contribution of this paper is twofold: first, we review the evolution of existing APT kill chain models. Second, we present a novel D-APT model based on existing ATP models and military theory. The model describes the strategic objective setting, the operational kill chain and the tactics of the attacker, as well as the defender's critical infrastructure, processes and societal function. |
| DOI | 10.1109/EuroSPW54576.2021.00026 |
| Citation Key | meijaard_modelling_2021 |
Modelling Disruptive APTs targeting Critical Infrastructure using Military Theory