Aims and Scope
This Special Issue will focus on the security, robustness, and trustworthiness of AI models proposed for or deployed in critical infrastructure environments. It will seek rigorous contributions examining model-level vulnerabilities, adversarial manipulation, data poisoning, model extraction, and other risks that may undermine the safe and reliable use of AI across essential sectors such as energy, water, transportation, and telecommunications.
The integration of Artificial Intelligence (AI) into critical infrastructure is transforming operational capabilities in sectors vital to national security and public safety, such as utilities, transportation, and communications. As these systems become smarter and more autonomous, the implications of AI vulnerabilities become more severe, potentially leading to disruptions that could affect millions of lives and cause significant economic impact. Ensuring the security of these AI systems is paramount, as the sophistication of cyber threats continues to evolve rapidly. This SI aims to explore the intersection of AI and security within critical infrastructure sectors such as energy, water supply, transportation, and telecommunications. The rapid integration of AI technologies in these essential domains presents unique vulnerabilities and requires robust security measures. This SI will solicit original research papers and reviews on advanced methods and technologies to enhance the resilience and security of AI systems in critical infrastructure against a range of threats, including cyber-attacks, physical attacks, and manipulation.
Lead Guest Editor
Tarek Gaber
University of Salford, UK
Research Interests: Cyber Security, Machine Learning, Artificial Intelligence, Artificial Intelligence Security
Guest Editors
Ahmed F. Zobaa
Brunel University of London, UK
Research Interests: Power Systems, Energy and Environment, Smart Grids, Education
Ivan Zelinka
VSB- Technical University of Ostrava, Czech Republic
Research Interests: Artificial Neural Networks, Heuristics, Computational Intelligence, Neural Networks
Special Issue Information
The contributions from researchers describing their original, unpublished, research contribution on the following theme (but not limited to):
· Secure Deep Learning Techniques for Infrastructure Systems
· Robust AI-based Anomaly Detection Models for Infrastructure Systems
· Secure Federated Learning Techniques for Infrastructure Systems
· Privacy-Preserving AI Solutions for Sensitive Data Handling in Critical Infrastructure
· Robust AI-Based Authentication and Access Control Mechanisms
· Resilient AI Algorithms for Predictive Maintenance in Critical Systems
· AI-Enabled Threat Intelligence and Information Sharing Platforms
· Vulnerability Assessment of AI Systems in Critical Infrastructure
· Hybrid Secure AI Approaches for Anomaly Detection in Complex Infrastructural Networks
· Trustworthy AI Governance Frameworks for Critical Infrastructure Operators
· Secure AI for Cyber-Physical Security in Critical Infrastructure
· Adversarial AI and Countermeasures for Critical Infrastructure
· AI in Incident Response and Recovery in Critical Infrastructure Engineering
Manuscript Submission Information
Submission deadline: December 31, 2026
Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field.
If you have any queries regarding this special issue or other matters, please feel free to contact the editorial office: aia@bonviewpress.com
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eISSN 2811-0854 | Published by Bon View Publishing Pte Ltd.
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