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Reusable Network Simulation for CPS Co-Simulations

Published

Author(s)

Himanshu Neema, Harmon Nine, Thomas Roth

Abstract

Cyber-Physical Systems (CPS) require seamless integration of physical and computation components through communication networks. They often contain sub-systems from different physical domains (e.g., electrical, mechanical, and electronic) that must coordinate over a communications network to achieve a joint function. Thus, network characteristics significantly affect CPS performance and must be accurately modeled and simulated. However, simulation efforts are often siloed into specific domains (e.g., manufacturing, transportation, and electric grid) due to the level of complexity required to simulate even one domain. Co-simulation standards such as the IEEE High Level Architecture (HLA) attempt to facilitate model sharing between domains through definition of common services such as time management on a shared message bus. However, a well-developed, integrated, and configurable network simulation component that can be readily deployed in CPS co-simulations is lacking due to both the network simulation complexity and customization needed for specific domains. This paper presents a novel approach to create a highly reusable and configurable network simulation for HLA co-simulations which includes a cyber-attack library for analyzing behavior of CPS under attack. This work could provide effective means to quickly develop cyber scenarios for analyzing CPS through networked co-simulations.
Proceedings Title
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023
Conference Dates
May 9, 2023
Conference Location
San Antonio, TX, US
Conference Title
2023 CPS-IoT Week

Keywords

co-simulation, cyber-physical systems, high level architecture, internet of things, network simulation

Citation

Neema, H. , Nine, H. and Roth, T. (2023), Reusable Network Simulation for CPS Co-Simulations, Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, San Antonio, TX, US, [online], https://doi.org/10.1145/3576914.3587531, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936563 (Accessed February 20, 2024)
Created May 9, 2023, Updated May 24, 2023