Towards Resilient Operation of Critical Infrastructures
Towards Resilient Operation of Critical Infrastructures
Disciplines
Computer Sciences (80%); Materials Engineering (20%)
Keywords
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Critical Infrastructures,
Edge Computing,
Security,
Privacy,
Internet Of Things,
Resilience
In today`s interconnected world, the safety and security of our critical infrastructures - such as water distribution systems and nuclear power plants - are of paramount importance. These infrastructures are crucial for our daily life, providing essential services like water and energy. However, they face increasing risks, especially from cyber-physical threats in the digital era. Addressing these challenges requires innovative solutions that go beyond traditional methods. This international and multi-disciplinary research project focuses on enhancing the resilience of critical infrastructures against various threats, emphasizing the protection against cyber- physical attacks. With the rise of digital Instrumentation and Control systems, our infrastructures have become more exposed to cyber threats. These systems, vital for collecting and processing data to manage infrastructure operations, have turned into potential targets for cyber-attacks, which can disrupt essential services and pose significant risks to public safety and well-being. The project aims to develop a new, comprehensive security solution that combines both hardware and software approaches, creating a more resilient and secure infrastructure. This hybrid approach is a departure from traditional methods, which often focus on either hardware or software security. The proposed solution includes innovative techniques like smart sensor placement, local data processing, and energy-efficient software design to minimize vulnerabilities and protect against intrusions. A key aspect of this project is its focus on practical application. Collaborating closely with industrial partners, such as Welsh Water and Nuclear AMRC, ensures that the solutions developed are not only theoretically sound but also practically viable and directly relevant to the needs of critical infrastructures. This real-world focus is crucial for the successful implementation of the security measures. The implications of this project are significant. Securing our critical infrastructures ensures uninterrupted access to essential services, safeguarding our way of life and enhancing Europe-wide security. The project`s innovative approach sets a new standard in infrastructure protection and could influence European strategies for securing these vital systems. In summary, this project represents a significant advancement in the protection of critical infrastructures. By integrating advanced hardware and software security measures, it promises to make our essential systems more resilient to threats. This initiative not only contributes to the safety and well-being of citizens but also paves the way for future innovations in infrastructure security. As our reliance on digital systems grows, such initiatives are vital in ensuring a safe, secure, and resilient society.
- Universität Wien - 100%
- Siegfried Benkner, Universität Wien , national collaboration partner
- Md Salauddin, University College Dublin - Ireland
- Daniela Delinschi, Holisun - Romania
- Hafiz Ahmed, University of Wales at Bangor
Research Output
- 4 Publications
- 4 Disseminations
- 2 Scientific Awards
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2025
Title The promise of neuromorphic edge AI for rural environmental monitoring DOI 10.1017/eds.2024.36 Type Journal Article Author Aral A Journal Environmental Data Science -
2025
Title Performance Analysis ofAI-Driven Security Models intheCloud-Edge Continuum forMonitoring Critical Infrastructures; In: Advanced Information Networking and Applications - Proceedings of the 39th International Conference on Advanced Information Networking and Applications (AINA-2025), Volume 6 DOI 10.1007/978-3-031-87778-0_27 Type Book Chapter Publisher Springer Nature Switzerland -
2024
Title Revisiting Edge AI: Opportunities and Challenges DOI 10.1109/mic.2024.3383758 Type Journal Article Author Lovén L Journal IEEE Internet Computing -
2024
Title Towards Enhanced AI-Driven Security in Monitoring Systems with Low-Cost IoT Devices DOI 10.1145/3703790.3703819 Type Conference Proceeding Abstract Author Al-Rubaye M Pages 255-260
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2025
Link
Title KUIS AI Talk series Type A talk or presentation Link Link -
2024
Link
Title Public Lecture Series: Sustainability in Computer Science Type A talk or presentation Link Link -
2025
Link
Title Learning Machines Seminars Type A talk or presentation Link Link -
2025
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Title Shared Paths to Innovative Research Type A formal working group, expert panel or dialogue Link Link
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2025
Title Critical Infrastructure Award Type Research prize Level of Recognition National (any country) -
2025
Title Keynote at the IEEE EDGE Conference Type Personally asked as a key note speaker to a conference Level of Recognition Continental/International