Technical Papers
Aug 30, 2017

Bi-Objective Vulnerability-Reduction Formulation for a Network under Diverse Attacks

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 3, Issue 4

Abstract

Resilience, described in this work as a function of vulnerability and recoverability dimensions, is an increasingly important concept in preparing for and responding to disruptions in many kinds of cyber-physical-social systems, including networks. This paper focuses on the vulnerability dimension of resilience, proposing (1) a bi-objective optimization formulation to devise defense strategies across a range of diverse attack scenarios, and (2) a three-step solution approach of approximating Pareto-optimal defense strategies for each attack scenario and aggregating characteristics of strategies across attacks to identify a robust defense strategy. An example network illustrates the formulation and solution approach, identifying contributions to enhance network resilience analytics.

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Acknowledgments

This work was supported in part by the National Science Foundation, Division of Civil, Mechanical, and Manufacturing Innovation, under Award 1541165.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 3Issue 4December 2017

History

Received: Jan 29, 2016
Accepted: May 12, 2017
Published online: Aug 30, 2017
Published in print: Dec 1, 2017
Discussion open until: Jan 30, 2018

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Authors

Affiliations

Jose E. Ramirez-Marquez, Ph.D. [email protected]
Associate Professor, School of Systems and Enterprises, Stevens Institute of Technology, Castle Point on Hudson, Hoboken, NJ 07030; Distinguished Professor, Escuela de Ingeniera y Ciencias, Tecnologico de Monterrey, Campus Estado de Mexico, Monterrey, 52926, Mexico. E-mail: [email protected]
Claudio M. Rocco, Ph.D. [email protected]
Professor, Facultad de Ingeniería, Universidad Central de Venezuela, Apartado Postal 47937, Los Chaguaramos 1041 A, Caracas, Venezuela. E-mail: [email protected]
Kash Barker, Ph.D. [email protected]
Associate Professor, School of Industrial and Systems Engineering, Univ. of Oklahoma, 202 W. Boyd St., Rm. 124, Norman, OK 73019 (corresponding author). E-mail: [email protected]

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