Theoretical Framework for Designing and Analyzing Resilient Smart Cyber Systems rSCS

Abstract

It is widely recognized that cyber resources and services can be penetrated and maliciously exploited, and that attacks are becoming more potent and persistent. 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. The RCT will bedeveloped based on two main principles:1.Resilience Cyber Principle (RCP): RCP focuses on identifying innovative techniques to makeit extremely difficult for the cyber-attackers to figure out how the cyber systems are implemented and their vulnerabilities. RCP will be based on Moving Target Defense (MTD), Random Change in Cyber Environments, and Autonomic Computing.2.Zero-Trust Principle (ZTP): In ZTP, we assume very data, transaction, logical and physical resources, and uses are not trustworthy until we can authenticate each component, make sure operations are authorized, and validated such that no severe consequences can result from the authorizedoperations.Specifically, the project research objectives can be highlighted as follows:#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 (Lead: Hacid, LIRIS CNRS)#Use graph-based modeling techniques to model and quantify resiliency of any resilient cyber system configuration (Lead: Kheddouch, LIRIS CNRS)#Zero-Trust Modeling, Analysis and Quantification. Develop the theoretical approach to model zero-trust algorithms so it can be used by decision support systems to enforce ZTP in real-time (Lead: Badr, LIRIS CNRS, Collaborator: Hariri, UA)#Develop an AI-enabled theoretical framework for firmware and hardware supply chain security and resiliency and innovate effective real-time threat detection and mitigation (Lead: Agoun, Lyon, Collaborator: Salehi, UA)#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. (All Team members)To evaluate the algorithms to be developed in this project, we will setup a cyberspace testbed at LIRIS CNRS. The cyberspace testbed will simulate real DoD applications (e.g., Unmanned Maritime Ships/Plans/Vehicles) that will be used to evaluate the algorithms developed based on the proposed resilient cyber theory. The Testbed will enable us to evaluate the zero-trust and resilient algorithms and how to enforce zero-trust principles in real-time. In what follows, we briefly describe the main research activities to be performed in the project

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 13, 2023
Source ID
N629092312095

Entities

People

  • Mohand-said Hacid

Organizations

  • Claude Bernard University Lyon 1
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Distributed Systems and Data Platform Development
  • Organizational Process Management (OPM).

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Cyber