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


  • 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

    Lead research organisation: Lancaster University

    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

    Lead research organisation: LANCASTER UNIVERSITY

    Why might this be relevant?

    The project focuses on secure and safe AI technology, which is relevant to preventing misuse of autonomous systems, but does not specifically address 'security by design' or attacks on the systems themselves.

  • 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

    Lead research organisation: THE ALAN TURING INSTITUTE

    Why might this be relevant?

    The project aims to address challenges in deploying safe and secure AI technology, which is relevant to the question, but does not specifically focus on preventing criminal or hostile use of these 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

    Lead research organisation: UNIVERSITY OF BIRMINGHAM

  • 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

    Lead research organisation: SPIRENT COMMUNICATIONS PLC

  • 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

    Lead research organisation: ROYAL HOLLOWAY UNIV OF LONDON

  • 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

    Lead research organisation: Imperial College London

  • 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

    Lead research organisation: CONATIX UK LTD

  • ATM: Automated Threat Modelling for Enterprise AI-enabled Assets

    In today's AI era, most companies use AI assets incorporating machine learning and deep learning models. In this context, AI assists enterprises in their decision-making process. The estimated cost of building and implem...

    Funded by: ISCF

    Lead research organisation: UNIVERSITY OF SHEFFIELD

  • Cyber Security for the Vehicles of Tomorrow

    Connected and autonomous vehicles are set to revolutionise our transportation and re-shape our cities. They will prevent accidents, reduce parking space requirements, lower congestion and pollution. But in order to achie...

    Funded by: EPSRC

    Lead research organisation: University of Birmingham

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