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research-article

A Framework for Development of Risk-Informed Autonomous Adaptive Cyber Controller

[+] Author and Article Information
Arun Veeramany

Richland, WA arun.veeramany@pnnl.gov

William J. Hutton, III

902 Battelle Blvd Richland, WA 99352 William.Hutton@pnnl.gov

Siddharth Sridhar

902 Battelle Blvd Richland, WA 99352 Siddharth.Sridhar@pnnl.gov

Sri Nikhil Gourisetti

902 Battelle Blvd Richland, WA 99352 SriNikhil.Gourisetti@pnnl.gov

Garill A Coles

902 Battelle Blvd Richland, WA 99352 Garill.Coles@pnnl.gov

Paul Skare

902 Battelle Blvd Richland, WA 99352 Paul.Skare@pnnl.gov

1Corresponding author.

Manuscript received March 8, 2018; final manuscript received February 6, 2019; published online xx xx, xxxx. Assoc. Editor: Mahesh Mani.

ASME doi:10.1115/1.4043040 History: Received March 08, 2018; Accepted February 12, 2019

Abstract

This article details a framework and methodology to risk-inform the decisions of an unsupervised cyber controller. A risk assessment methodology within this framework uses a combination of fault trees, event trees and attack graphs to trace and map cyber elements with business processes. The methodology attempts to prevent and mitigate cyberattacks by using adaptive controllers that proactively reconfigure a network based on actionable risk estimates. The estimates are based on vulnerabilities and potential business consequences. A generic enterprise control system is used to demonstrate the wide applicability of the methodology. In addition, data needs, implementation, and potential pitfalls are discussed.

Copyright © 2019 by ASME
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