Defining Cyber Risk Scenarios to Evaluate IoT Systems

Author:

Andrade RobertoORCID,Ortiz Iván,Cazares María,Navas GustavoORCID,Sánchez-Pazmiño María Isabel

Abstract

The growth of the Internet of Things (IoT) has accelerated digital transformation processes in organizations and cities. However, it has also opened new security challenges due to the complexity and dynamism of these systems. The application of security risk analysis methodologies used to evaluate information technology (IT) systems have their limitations to qualitatively assess the security risks in IoT systems, due to the lack of historical data and the dynamic behavior of the solutions based on the IoT. The objective of this study is to propose a methodology for developing a security risk analysis using scenarios based on the risk factors of IoT devices. In order to manage the uncertainty due to the dynamics of IoT behaviors, we propose the use of Bayesian networks in conjunction with the Best Worst Method (BWM) for multi-criteria decision-making to obtain a quantitative security risk value.

Publisher

MDPI AG

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference63 articles.

1. (2022, February 28). World Economic Forum, Technology, Innovation and Systemic Risk. Available online: https://www.weforum.org/projects/technology-innovation-and-systemic-risk.

2. (2022, February 28). Mckinsey. Available online: https://www.mckinsey.com/alumni/news-and-insights/global-news/firm-news/the-accelerating-value-of-the-internet-of-things.

3. Zikria, Y.B., Ali, R., Afzal, M.K., and Kim, S.W. (2021). Next-Generation Internet of Things (IoT): Opportunities, Challenges, and Solutions. Sensors, 21.

4. Future developments in standardization of cyber risk in the Internet of Things (IoT);Radanliev;SN Appl. Sci.,2020

5. Security Risk Assessment in Internet of Things Systems;Nurse;IT Prof.,2017

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