Asaf Shabtai

Senior Academic

Deriving a cost-effective digital twin of an ICS to facilitate security evaluation

Ron Bitton, Tomer Gluck, Orly Stan, Masaki Inokuchi, Yoshinobu Ohta, Yoshiyuki Yamada, Tomohiko Yagyu, Yuval Elovici,Asaf Shabtai

Industrial control systems (ICSs), and particularly supervisory control and data acquisition (SCADA) systems, are used in many critical infrastructures and are inherently insecure, making them desirable targets for attackers. ICS networks differ from typical enterprise networks in their characteristics and goals; therefore, security assessment methods that are common in enterprise networks (e.g., penetration testing) cannot be directly applied in ICSs. Thus, security experts recommend using an isolated environment that mimics the real one for assessing the security of ICSs. While the use of such environments solves the main challenge in ICS security analysis, it poses another one: the trade-off between budget and fidelity. In this paper we suggest a method for creating a digital twin that is network-specific, cost-efficient, highly reliable, and security test-oriented. The proposed method consists of two modules: a problem builder that takes facts about the system under test and converts them into a rules set that reflects the system’s topology and digital twin implementation constraints; and a solver that takes these inputs and uses 0–1 non-linear programming to find an optimal solution (i.e., a digital twin specification), which satisfies all of the constraints. We demonstrate the application of our method on a simple use case of a simplified ICS network.

Publication language English
Pages 533-554
Publication status Published - 01.01.2018

Keywords

Industrial control systems
Non linear integer programming
Penetration test
Supervisory control and data acquisition

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Sustainable Development Goals

SDG 9 - Industry, Innovation, and Infrastructure