Cyber security of critical infrastructure: challenges of innovation and threats of digital technologies

Purpose. The article aims to explore the characteristics, development prospects, and potential threats associated with the cybersecurity of critical infrastructure. As critical systems become increasingly dependent on digital technologies and inter-connected networks, safeguarding these infrastructures from cyberattacks is par-amount. Design / Method / Approach. This research adopts a conceptual ap-proach, drawing from case studies, technical reports, and regulatory frameworks to synthesize the current state of cybersecurity in sectors like energy, telecommunications, and transportation. The study evaluates the integration of emerging technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) in enhancing the resilience of critical systems, while highlighting their vulnerabilities. Findings. The research demonstrates that although AI and IoT technologies are enhancing efficiency and control, they also introduce significant risks, including new cybersecurity challenges, regulatory gaps, and vulnerabilities in supervisory control systems like SCADA. Theoretical Implications. This study contributes to a deeper theoretical understanding of critical infrastructure cybersecurity by ad-dressing both the opportunities and risks associated with technological advance-ments. It offers a conceptual model for balancing innovation with security measures. Practical Implications. For policymakers and practitioners, the paper provides actionable recommendations on strengthening regulatory frameworks, improving resilience to cyberattacks, and implementing more secure IoT and AI deployments in critical systems. Originality / Value. The research offers a com-prehensive overview of the dual nature of technological advancements in critical infrastructure, combining analysis of cybersecurity innovations with an exploration of the challenges and gaps that need to be addressed. Research Limitations / Future Research. The study relies on available literature and reports; future re-search should involve empirical investigations on the long-term impact of cyber-security measures in critical infrastructure. Paper Type. Conceptual.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-26
DOI
https://doi.org/10.5281/zenodo.17299829
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Cyber security of critical infrastructure: challenges of innovation and threats of digital technologies

Zenodo (CERN European Organization for Nuclear Research)
Smart Grid Security and Resilience
article

Cyber security of critical infrastructure: challenges of innovation and threats of digital technologies

article en

Abstract

Purpose. The article aims to explore the characteristics, development prospects, and potential threats associated with the cybersecurity of critical infrastructure. As critical systems become increasingly dependent on digital technologies and inter-connected networks, safeguarding these infrastructures from cyberattacks is par-amount. Design / Method / Approach. This research adopts a conceptual ap-proach, drawing from case studies, technical reports, and regulatory frameworks to synthesize the current state of cybersecurity in sectors like energy, telecommunications, and transportation. The study evaluates the integration of emerging technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) in enhancing the resilience of critical systems, while highlighting their vulnerabilities. Findings. The research demonstrates that although AI and IoT technologies are enhancing efficiency and control, they also introduce significant risks, including new cybersecurity challenges, regulatory gaps, and vulnerabilities in supervisory control systems like SCADA. Theoretical Implications. This study contributes to a deeper theoretical understanding of critical infrastructure cybersecurity by ad-dressing both the opportunities and risks associated with technological advance-ments. It offers a conceptual model for balancing innovation with security measures. Practical Implications. For policymakers and practitioners, the paper provides actionable recommendations on strengthening regulatory frameworks, improving resilience to cyberattacks, and implementing more secure IoT and AI deployments in critical systems. Originality / Value. The research offers a com-prehensive overview of the dual nature of technological advancements in critical infrastructure, combining analysis of cybersecurity innovations with an exploration of the challenges and gaps that need to be addressed. Research Limitations / Future Research. The study relies on available literature and reports; future re-search should involve empirical investigations on the long-term impact of cyber-security measures in critical infrastructure. Paper Type. Conceptual.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 51%
Smart Grid Security and Resilience
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