Welcome to the Resilient Computing Lab (RCL)

RCL is a research group of the Department of Mathematics and Informatics (DiMaI, "Dipartimento di Matermatica e Informatica") of the University of Florence. RCL research activities focus mainly in research and experimentation of dependable and secure systems, infrastructures and systems of systems. RCL is currently involved in research spanning the following areas:

  • Design and experimentation of architectures and techniques for resilient, safety-critical and secure systems;
  • Quantitative evaluation of dependability, security and Quality of Service through analytical, simulative and experimental techniques;
  • Applications of Machine Learning Techniques (especially Anomaly Detection) in the domain of Critical Systems.

Details on where we are, who we are, and our projects are available on this website.

For further information, please contact prof. Andrea Bondavalli.

Call for Papers- Special Issue on Resilient Cyber-Physical Systems PDF Print E-mail
Wednesday, 09 September 2020 12:02

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Message from the Guest Editors

This Special Issue “Resilient Cyber-Physical Systems” aims to discuss innovative methodologies and techniques for improving resilience in the broad spectrum of cyber physical systems, presenting new research advances as well as their application in relevant case studies, especially welcoming industrial applications. New ideas proposing disruptive approaches are also welcome. Topics of interest include, but are not limited to, the following areas:

  • Design and assessment methodologies, techniques, and tools for secure and dependable cyber-physical systems
  • Modelling and experimenting with resilient cyber-physical systems
  • Threat and hazard assessment and mitigation
  • Artificial Intelligence solutions for cyber-physical resiliency
  • Model-Driven Engineering for resilient cyberphysical systems
  • Validation and certification issues in cyber-physical systems
  • Industrial applications and case studies

 

 

Resilient Computing Lab, 2011

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