The Internet of Things (IoT) presents unique cybersecurity challenges due to its interconnected nature and diverse application domains. This paper explores the application of Cyber Value-at-Risk (Cy-VaR) models to assess and mitigate cybersecurity risks in IoT environments. Cy-VaR, rooted in Value at Risk principles, provides a framework to quantify the potential financial impacts of cybersecurity incidents. Initially developed to evaluate overall risk exposure across scenarios, our approach extends Cy-VaR to consider specific IoT layers: perception, network, and application. Each layer encompasses distinct functionalities and vulnerabilities, from sensor data acquisition (perception layer) to secure data transmission (network layer) and application-specific services (application layer). By calculating Cy- VaR for each layer and scenario, organizations can prioritize security investments effectively. This paper discusses methodologies and models, including scenario-based Cy-VaR and layer-specific risk assessments, emphasizing their application in enhancing IoT cybersecurity resilience.
@article{arxiv.2504.17054,
title = {Cyber Value At Risk Model for IoT Ecosystems},
author = {Goksel Kucukkaya and Murat Ozer and Emrah Ugurlu},
journal= {arXiv preprint arXiv:2504.17054},
year = {2025}
}