Text

Research Project 2.2

Cybersecurity framework for industrial control systems in multi-robot environments

Objective:

The objective of this project is to develop a comprehensive cybersecurity framework that can protect multi-robot industrial control systems against various cyber threats

This project aims to create a robust cybersecurity solution for industrial environments where multiple robots work together. It will address vulnerabilities specific to multi-robot interactions and data exchanges in industrial setting.

The project's central focus is the development of advanced, model-based anomaly detec­ tion algorithms that can operate in real time. These algorithms will swiftly identify potential security threats and ensure the integrity and operational continuity of the control systems. Additionally, ma­ chine learning techniques will be integrated into the system to strengthen its capacity for preventing, detecting, and mitigating cybersecurity threats.

The project aims to create a comprehensive cybersecurity solution that can seamlessly integrate with existing industrial control systems and be adaptable to various robotic platforms. The effectiveness of these cybersecurity measures will be validated through rigorous testing, including simulated cyber­ attack scenarios. Post-implementation, the project will focus on continuous optimisation based on operational feedback and evolving cyber threat landscapes

Expected outcomes:

The expected outcome of this project is a state-of-the-art cybersecurity frame­ work that can enhance the security and reliability of multi-robot industrial control systems, contributing to safeguarding critical industrial infrastructure from cyber threats

Staffing: 2 Assoc. Sr. Lecturers (part of), 1 PhD student (funded by the MDU Trusted Smart Systems profile area).

Duration: 2024-2029

Partners