Addressing IoT-Driven Cybersecurity Risks in Critical Infrastructure to Safeguard Public Utilities and Prevent Large-Scale Service Disruptions

The rapid adoption of the Internet of Things (IoT) in critical infrastructure has revolutionized public utilities by enhancing automation, operational efficiency, and real-time monitoring. However, this increased connectivity also introduces significant cybersecurity vulnerabilities that pose risks to essential services, including power grids, water supply systems, transportation networks, and healthcare facilities. Cyberattacks targeting IoT-driven infrastructure can lead to large-scale service disruptions, economic losses, and threats to public safety. This study examines the cybersecurity risks associated with IoT-enabled critical infrastructure and evaluates the effectiveness of existing security frameworks in mitigating these vulnerabilities. By analyzing case studies of cyber incidents and current industry practices, the paper identifies key weaknesses in traditional security approaches. The study proposes a multi-layered security strategy incorporating artificial intelligence (AI)-driven threat detection, blockchain-based security mechanisms, and robust authentication protocols to enhance resilience against emerging threats. Additionally, it explores regulatory and policy recommendations to strengthen compliance and standardization in IoT cybersecurity. The findings underscore the need for proactive and adaptive security measures to safeguard public utilities and prevent large-scale disruptions, ensuring the reliability and safety of critical infrastructure in an increasingly interconnected world.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-04
DOI
https://doi.org/10.5281/zenodo.14964285
Citations
2
Primary Topic
Urban Stormwater Management Solutions
Type
article
Field-Weighted Citation Impact
1.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Addressing IoT-Driven Cybersecurity Risks in Critical Infrastructure to Safeguard Public Utilities and Prevent Large-Scale Service Disruptions

2 citations
Zenodo (CERN European Organization for Nuclear Research)
Urban Stormwater Management Solutions
1.60
article

Addressing IoT-Driven Cybersecurity Risks in Critical Infrastructure to Safeguard Public Utilities and Prevent Large-Scale Service Disruptions

article en
2 citations

Abstract

The rapid adoption of the Internet of Things (IoT) in critical infrastructure has revolutionized public utilities by enhancing automation, operational efficiency, and real-time monitoring. However, this increased connectivity also introduces significant cybersecurity vulnerabilities that pose risks to essential services, including power grids, water supply systems, transportation networks, and healthcare facilities. Cyberattacks targeting IoT-driven infrastructure can lead to large-scale service disruptions, economic losses, and threats to public safety. This study examines the cybersecurity risks associated with IoT-enabled critical infrastructure and evaluates the effectiveness of existing security frameworks in mitigating these vulnerabilities. By analyzing case studies of cyber incidents and current industry practices, the paper identifies key weaknesses in traditional security approaches. The study proposes a multi-layered security strategy incorporating artificial intelligence (AI)-driven threat detection, blockchain-based security mechanisms, and robust authentication protocols to enhance resilience against emerging threats. Additionally, it explores regulatory and policy recommendations to strengthen compliance and standardization in IoT cybersecurity. The findings underscore the need for proactive and adaptive security measures to safeguard public utilities and prevent large-scale disruptions, ensuring the reliability and safety of critical infrastructure in an increasingly interconnected world.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Urban Stormwater Management Solutions
1.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.