Cyber-Physical Resilience of Co-operating Autonomous Systems
Lead Research Organisation:
CRANFIELD UNIVERSITY
Department Name: Sch of Aerospace, Transport & Manufact
Abstract
Key research question: How to combine control-theoretic methods and cybersecurity techniques in order to jointly satisfy performance and security requirements of co-operating autonomous systems? Objectives: 1) Define scenarios for Co-operating Unmanned Aerial Vehicles to limit the scope of the study. 2) Specify performance and security requirements for Cyber-Physical Resilience. 3) Model the cyber and physical parts of the system together with cyber-physical interactions. 4) Propose a co-design framework to address jointly control performance and cyber security. 5) Carry out co-designs for reference scenarios and assess the resulting performance. The proposed approach to Cyber-Physical Resilience will combine three elements: (i) Cross-layer design in which the traditionally separate layers of the OSI model will be considered jointly, especially the three layers in the bottom of the stack: Physical, Data Link and Network layers. (ii) Co-design formulation to address both system security and control performance through the concept of interface variables to capture the cyber-physical interactions. (iii)The use of the new University experimental facilities, including MUEVI and IMEC. We are planning to work with an Industrial Partner, the Spirent business unit specialising in Robust Position, Navigation, and Timing (PNT). Our Academic Partner will be the Networked Systems Security Group at the Royal Institute of Technology (KTH) in Stockholm, Sweden.
Organisations
People |
ORCID iD |
Rafal Zbikowski (Primary Supervisor) |
Publications
Öreg Z
(2022)
Traffic conflict reduction based on distributed stochastic task allocation
in The Aeronautical Journal
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/N509450/1 | 01/10/2016 | 30/09/2021 | |||
1944177 | Studentship | EP/N509450/1 | 01/10/2017 | 31/03/2021 |
Description | The focus of the research is to provide solutions to the scalability problems of unmanned traffic management, and provide a self-optimisation capability for the framework. Steady-state and transient behaviour of the multi-agent system was analysed focusing on safety and throughput for various scenarios. Conflict probability, related to safety was also analysed using analytical methods. Several further research questions were identified in the field of collision avoidance and communication. |
Exploitation Route | Research ideas and results can be utilised by other academics working in related fields, extending the study by relaxing some of the simplifying assumptions and accurately modelling e.g. the communication framework. Results can be directly integrated to unmanned traffic management coordination software to increase airspace capacity and provide global coordination. |
Sectors | Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Education,Transport |