Preventing criminal, hostile or mischievous use of autonomous and unmanned systems, or attacks of the systems themselves, especially through “security by design”.

Background

Crimes such as homicide and theft, and drugs such as heroin and cocaine have always been of public concern, and there has been a recent focus on areas such as child sexual abuse, modern slavery, new psychoactive substances, online fraud, and online indecent images of children.

Next steps

Get in touch with research@homeoffice.gov.uk

Source

This question was published as part of the set of ARIs in this document:

Areas of research interest relevant to the Home Office GOVUK

Related UKRI funded projects


  • Enhancing Robustness and Security of Edge AI Systems for Safety-Critical Applications

    The GuardAI project seeks to enhance the security of edge AI systems, addressing their critical vulnerabilities. Emphasis is placed on high-stakes domains, as outlined in the EU’s AI Act, where these systems, including d...

    Funded by: Horizon Europe Guarantee

    Why might this be relevant?

    Addresses security of autonomous systems and emphasizes security by design.

  • UKRI Trustworthy Autonomous Systems Node in Security

    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 sh...

    Funded by: SPF

    Why might this be relevant?

    The project focuses on developing secure autonomous systems and has a research program covering both technical and social aspects of security, which directly addresses the question of preventing criminal or hostile use of autonomous systems.

  • ELSA: European Lighthouse on Secure and Safe AI

    In order to reinforce European leadership in safe and secure AI technology, we are proposing a virtual center of excellence on safe and secure AI that will address major challenges hampering the deployment of AI technolo...

    Funded by: Horizon Europe Guarantee

    Why might this be relevant?

    Focuses on safe and secure AI technology, but does not specifically address autonomous systems.

  • European Lighthouse on Secure and Safe AI

    In order to reinforce European leadership in safe and secure AI technology, we are proposing a virtual center of excellence on safe and secure AI that will address major challenges hampering the deployment of AI technolo...

    Funded by: Horizon Europe Guarantee

  • European Lighthouse on Secure and Safe AI

    In order to reinforce European leadership in safe and secure AI technology, we are proposing a virtual center of excellence on safe and secure AI that will address major challenges hampering the deployment of AI technolo...

    Funded by: Horizon Europe Guarantee

  • PNT Cyber Attack Resilience, a Lab2Live Observer Based Approach

    The challenge the UK faces is how to deliver, rapidly and competitively, the economical, societal, and environmental benefits that Connected Autonomous Vehicles (CAV) have to offer. Through Zenzic, Government and industr...

    Funded by: Innovate UK

  • AISecure

    The AI market size is expected to be USD 190.61 billion by 2025, with a CAGR of 36.62% between 2018 and 2025. Furthermore, AI systems will be used in a wide range of applications, from cybersecurity threat prevention to ...

    Funded by: Innovate UK

  • IoT-Driven Cybersecurity Framework for Intrusion Detection in the Internet of Drones

    The proposed project will deliver an AI-driven, multi-tier cybersecurity framework designed for autonomous drones operating in critical sectors such as disaster relief, search and rescue, and medical deliveries. As drone...

    Funded by: Innovate UK

    Lead research organisation: UNIVERSITY OF ULSTER

  • RESICS:Resilience and Safety to attacks in ICS and CPS

    We all critically depend on and use digital systems that sense and control physical processes and environments. Electricity, gas, water, and other utilities require the continuous operation of both national and local inf...

    Funded by: EPSRC

  • AI-Based Real-Time Fraudulent and Suspicious Activity Detection on Secure Software-Defined Wireless Networks

    The aim of the project AI-Based Real-Time Fraudulent and Suspicious Activity Detection on Secure Software-Defined Wireless Networks is to transplant and adapt Conatix fraud and anomaly detection technology from "con...

    Funded by: Innovate UK