Abstract

The fourth industrial revolution has brought several risks to factories along with its plethora of benefits. The convergence of new technologies, legacy technologies, information technologies and operational technologies in the same network generates a wide attack surface. At the same time, factories need continuous production to meet their customers’ demand, so any stopped production can have harsh effects on a factory’s economy. This makes cyber resilience a key requirement in factories nowadays. However, it is difficult for managers to define effective cyber resilience strategies, especially considering the difficulty of estimating adequate investment in cyber resilience policies before the company has suffered cyber incidents. In this sense, the purpose of this article is to define and model an effective cyber resilience strategy. To achieve this, the system dynamics methodology was followed in order to get five experts’ opinions on the best strategy to invest in cyber resilience. Interviews were conducted with these experts; their reasoning was put into behavior over time graphs and a system dynamics model was built from these findings. The main conclusion is that a cyber resilience investment strategy should be dynamic, investing in both technical security and personnel training, but at first with an emphasis on technical security and later shifting to have an emphasis on training.

Highlights

  • Technology today has become crucial in the industrial sector in order to stay competitive.With the paradigm of industry 4.0 or smart manufacturing, companies are able to be more efficient, more productive and more flexible [1]

  • This article has found a roadmap to an efficient investment strategy for building cyber resilience

  • In order to achieve this, experts were interviewed and their points of view were summarized into behavior over time graphs of several key variables that led to the modeling of the problem in a system dynamics model

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Summary

Introduction

Technology today has become crucial in the industrial sector in order to stay competitive.With the paradigm of industry 4.0 or smart manufacturing, companies are able to be more efficient, more productive and more flexible [1]. Two of the main technologies it includes are Cyber-Physical Systems (CPS) and the Internet of Things (IoT). Through these technologies, factories aim to obtain real-time data that will let them optimize their decision making, resources and client satisfaction [1,2,3]. Factories aim to obtain real-time data that will let them optimize their decision making, resources and client satisfaction [1,2,3] With all these advantages, smart manufacturing has brought a convergence between the Information Technologies (IT) and the Operational Technologies (OT) [3,4,5].

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