Completed Engineering Computing & AI

UKRI Trustworthy Autonomous Systems Node in Security

In plain English

AI plain-English summary

Self-driving cars, delivery drones, and automated factory robots are vulnerable to cyberattacks that could cause physical harm, and this project builds the fundamental security science to stop that. Current security methods assume a stable, predictable environment, but autonomous systems operate in the real world where conditions shift constantly and new threats emerge without warning. The researchers are developing new technical and social approaches to security that account for this uncertainty, working with industrial designers and frontline users to ensure the solutions work in practice. If successful, the research could prevent a hacked autonomous vehicle from causing a collision, stop a compromised drone from dropping a package in the wrong location, or block an attacker from taking control of a robotic arm on a production line. The project also creates a shared test facility where the entire UK autonomous systems community can experiment with security measures. The work is fundamental science—it does not deliver a finished product—but it provides the theoretical and practical foundation needed to make autonomous systems safe enough for widespread use.

View original technical description
Autonomous Systems (AS) are cyberphysical complex systems that combine artificial intelligence with multi-layer operations. Security for dynamic and networked ASs has to develop new methods to address an uncertain and shifting operational environment and usage space. As such, we have developed an ambitious program to develop fundamental secure AS research covering both the technical and social aspects of security. Our research program is coupled with internationally leading test facilities for AS and security, providing a research platform for not only this TAS node, but the whole TAS ecosystem. To enhance impact, we have built a partnership with leading AS operators in the UK and across the world, ranging from industrial designers to frontline end-users. Our long-term goal is to translate the internationally leading research into real-world AS impact via a number of impact pathways. The research will accelerate UK's position as a leader in secure AS research and promote a safer society.

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Researchers

Antonios Tsourdos (Co-Investigator)Catherine Rachel Easton (Co-Investigator)Corinne May-Chahal (Principal Investigator)David Hutchison (Co-Investigator)Gokhan Inalhan (Co-Investigator)Joseph Deville (Co-Investigator)Lisa Dorn (Co-Investigator)Neeraj Suri (Principal Investigator)Plamen Angelov (Co-Investigator)Vasileios Giotsas (Co-Investigator)Weisi Guo (Co-Investigator)

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Original classification

Research Grant

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