Variable Speed Simulation for Accelerated Industrial Control System Cyber Training - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Variable Speed Simulation for Accelerated Industrial Control System Cyber Training

Résumé

Industrial control systems employ a variety of hardware, software and network protocols to control physical processes that are critical to societal functions. It is vital that industrial control system operators receive quality training to defend against cyber attacks. Hands-on training exercises with real-world control systems enable operators to learn defensive techniques and understand the real-world impacts of their control decisions. However, cyber attacks and operator actions have unforeseen effects that can take a significant amount of time to manifest and potentially cause physical harm to systems, making high-fidelity training exercises costly and time-consuming.This chapter presents a methodology for accelerating training exercises by simulating and predicting the effects of cyber events in partially-simulated control systems. A hardware-in-the-loop simulation comprising a software-modeled water tank and a commercially-available programmable logic controller are used to demonstrate the feasibility of the methodology. The experimental results demonstrate that the effects of cyber events can be accurately simulated at speeds faster than real time, significantly enhancing operator training regimens.
Fichier principal
Vignette du fichier
476849_1_En_15_Chapter.pdf (1.77 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02076304 , version 1 (22-03-2019)

Licence

Identifiants

Citer

Luke Bradford, Barry Mullins, Stephen Dunlap, Timothy Lacey. Variable Speed Simulation for Accelerated Industrial Control System Cyber Training. 12th International Conference on Critical Infrastructure Protection (ICCIP), Mar 2018, Arlington, VA, United States. pp.283-306, ⟨10.1007/978-3-030-04537-1_15⟩. ⟨hal-02076304⟩
44 Consultations
67 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More