Advanced Monitoring of Smart Critical Infrastructures
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 745
Special Issue Editors
Interests: IoT; critical infrastructures; system modeling; dependability; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Interests: predicted models based on machine learning and deep learning; training of deep-learning-based models; training of intelligent agents based on reinforcement learning methods
Special Issues, Collections and Topics in MDPI journals
Interests: advanced adaptive robotic systems; programming and real-time control; collision avoidance; instrument interfacing and data collection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the evolving landscape of infrastructure management, the integration of IoT and machine learning technologies is steering a significant transformation towards automated systems that minimize manual oversight. This Special Issue seeks to present innovative research that leverages non-invasive monitoring technologies—such as ultrasonics, electromagnetic sensors, radar, and satellite data—to enhance the dependability and efficiency of critical infrastructures like bridges, dams, and energy facilities.
Contributors are encouraged to explore advanced data fusion techniques that integrate disparate data streams to create robust decision-making tools in infrastructure management. Such integrations are crucial for ensuring that data across various monitoring systems are synchronized and standardized, guaranteeing both reliability and actionability. This issue will also delve into the architectures of smart critical infrastructure systems, emphasizing the importance of creating intelligent, scalable networks capable of managing large-scale data integration and sharing. These systems are designed to be resilient against both cyber and physical threats, ensuring uninterrupted monitoring and data integrity. Furthermore, contributions that explore the implementation of sophisticated intrusion detection systems (IDSs) are highly valued. These systems are crucial for identifying and mitigating potential security breaches, thereby safeguarding the infrastructure against various forms of attacks. By combining insights from various disciplines, this Special Issue aims to advance the field of smart infrastructure monitoring, fostering the development of systems that enhance the safety, sustainability, and resilience of critical assets globally. Through this collaborative exchange, we expect to uncover new methodologies and technologies that can transform the current practices in critical infrastructure management.
The following targeted topics include, but are not limited to, the following:
- IoT-based sensing technologies for real-time SHM.
- Data fusion and machine learning models for lifespan prediction of infrastructures.
- Predictive analytics for infrastructure longevity
- Advanced communication protocols enhancing IoT scalability and security in CI applications.
- Enhanced communication protocols for secure data spaces.
- Multi-domain security systems for resilient infrastructure monitoring.
Technical Program Committee Member:
Dr. Alfredo Petruolo;
Department of Engineering, University of Naples Parthenope, 80143 Naples, Italy;
[email protected]
Dr. Roberto Nardone
Dr. Giovanni Paragliola
Dr. Carmelo Mineo
Guest Editors
Manuscript Submission Information
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Keywords
- IoT-enabled structural health monitoring
- data fusion in infrastructure management
- smart infrastructure security systems
- predictive maintenance models
- cyber-physical system resilience
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