Theoretical Framework for Designing and Analyzing Resilient Smart Cyber Systems

The main goal of this project is to develop an innovative Resilient Cyber Theory (RCT) that will enable DoD to achieve unprecedented cyber superiority that is critically needed to allow mission critical applications to continue to operate normally in spite of cyberattacks, accidents or failures that can be triggered by natural or malicious events.

Partners of the project

rSCS Project

Why?

The growing dependence of society on cyber systems in all areas (defense, economy, health, education) makes them prime targets for cyberattacks due to the profound and catastrophic damage such attacks could inflict on the economy and people's daily lives. It is widely recognized that cyber resources and services can be penetrated and maliciously exploited, and that attacks are becoming more potent and persistent. ). These challenges are keys for endowing software and hardware with intelligence (Software Intelligence).

What?

The rSCS Project's objective is to develop an innovative Resilient Cyber Theory (RCT) that will enable DoD to achieve unprecedented cyber superiority that is critically needed to allow mission critical applications to continue to operate normally in spite of cyberattacks, accidents or failures that can be triggered by natural or malicious events and accommodating distributed information, in real time.

How?

The rSCS Project will develop a theoretical resilience cyber framework that can be used to design resilient smart cyber systems that can tolerate any type of cyberattacks, accidents or failures. We aime to use graph-based modeling techniques to model and quantify resiliency of any resilient cyber system configuration. It considers a theoretical approach to model zero-trust algorithms so it can be used by decision support systems to enforce ZTP in real-time. As an objectif rSCS aims to produce an AI-enabled theoretical framework for firmware and hardware supply chain security and resiliency and innovate effective real-time threat detection and mitigation. Finally, the project will demonstrate how the proposed RCT can be applied to secure and protect machine learning algorithms that are used to protect smart cyber systems such as unmanned maritime ships/vehicles, drone, robots, etc.

Productions

Demos
  • Demo 1
  • Demo 1
  • Demo 1
Software
  • Software 1
  • Software 2
Dccuments
  • Article 1

Members

Juba Agoun Université Lumière Lyon 2, France
Hamamache Kheddouci Université Claude Bernard Lyon 1, France
Mohand-Saïd Hacid Université Claude Bernard Lyon 1, France
Mehdi Hennequin Université Claude Bernard Lyon 1, France
Clara Bertolissi Aix Marseille Université, France
Salim Hariri University of Arizona, USA
Arminda Estrada University of Arizona, USA
Ibrahim Almazyad University of Arizona, USA
Hossein Rastgoftar University of Arizona, USA
Gizem Altintarla University of Arizona, USA
Chieh Tsai University of Arizona, USA
Abdullah Alrashidi University of Arizona, USA
Safwan Elmadani University of Arizona, USA
Laurent d’Orazio Université de Rennes, France
Youakim Badr Pennsylvania State University , USA

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