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Artificial Intelligence for Addressing Security and Communications Challenges of Internet-connected Critical Infrastructures

Submission Deadline: 31 March 2024 (closed)

Guest Editors

Prof. Mohammad Hammoudeh, King Fahd University of Petroleum & Minerals, Saudi Arabia.
Dr. Gregory Epiphaniou, University of Warwick, UK.
Dr. Ali Dehghantanha, the University of Guelph, Canada.


Internet-connected critical infrastructures, such as power grids, transportation systems, and healthcare networks, face various security and communications challenges. These challenges arise due to the increased connectivity and reliance on digital systems, making them attractive targets for malicious actors. By understanding the security and communications challenges, stakeholders can work towards enhancing the resilience and reliability of Internet-connected critical infrastructures in the face of evolving threats. Addressing these challenges requires multidisciplinary research involving technical solutions, policies, regulations, and collaboration among stakeholders. Artificial Intelligence enhanced cybersecurity measures are increasingly used to mitigate the security and communications challenges Internet-connected critical infrastructures face.


This special issue is dedicated to research efforts that investigate the key challenges associated with these infrastructures and their implications. The primary focus is on security, including cybersecurity threats, legacy systems vulnerabilities, insider threats, and third-party dependencies. Additionally, the special issue addresses the complexity and scalability of securing critical infrastructures and the challenges in ensuring effective communication. The role of artificial intelligence (AI) in addressing these challenges is also a core topic in this special issue, with a specific focus on AI's potential in threat detection and prevention, intrusion detection and response, risk assessment, authentication, incident response, threat intelligence, and data protection. This special issue emphasizes the need for comprehensive and interdisciplinary research, including effective governance and human oversight, to maximize the benefits of AI while mitigating potential risks. 


1. Cybersecurity Threats
2. Legacy Systems and Interoperability
3. Insider Threats
4. Third-Party Risks
5. Complexity and Scalability
6. Communication Interference
7. Resilience and Disaster Recovery
8. Threat Detection and Prevention
9. Intrusion Detection and Response
10. Predictive Analytics for Risk Assessment
11. Intelligent Authentication and Access Control
12. Threat Intelligence and Information Sharing
13. Operational Technology / Industrial Control Systems Security
14. IT / OT Convergence
15. Quantum Security for CNI

Published Papers

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