Cyber Hygiene in AI-enabled Domestic Life

CHAI addresses the challenge of how to help users protect themselves against the security risks they will face in AI-enabled domestic environments. It moves beyond preventive approaches to security education to equip users with problem-solving skills to diagnose, analyse and respond to a security breach.

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Project Objectives

CHAI takes a human-centric approach to AI security. Towards its aim to help the individual protect themselves against security risks in AI enabled environments, it pursues the following objectives:


Identify theoretically and experimentally the AI-borne attack surface in domestic life.

Isolate the psychological, social, neurological and digital literacy factors of users that influence individual susceptibility to AI risks.

Evaluate the different approaches of AI explainability in terms of their influence on an individual's AI cyber risk perception.

Formulate and solve the optimisation problem of the allocation of cyber hygiene measures against their benefits and costs.

Develop a personalised cyber hygiene training programme for users to protect themselves.

Project Progress

The stage of the project and crucial milestone progress are shown below.

  • AI Attack Surface in a Domestic Life

  • User Susceptibility to AI Security Threats

  • AI Explainability Evaluation

  • Cyber Hygiene Optimisation

  • User Training and Evaluation in the Wild

  • Total Progress

Research Team

Prof. George Loukas

University Of Greenwich

Prof. George Loukas

CHAI’s Principal Investigator, George is fond of multidisciplinary solutions in cyber security, especially where a breach has physical impact.

Dr. Manos Panaousis

University Of Greenwich

Dr. Manos Panaousis

Manos is an expert in modelling cyber risk and determining robust cyber defences to adversarial strategies based on applied maths, such as optimisation and game theory.

Dr. Anatolij Bezemskij

University Of Greenwich

Dr. Anatolij Bezemskij

Anatolij is a cybersecurity researcher focusing on adversarial and offensive security towards the IoT domain, autonomous systems and industrial control systems.

Dr. Hsueh-Ju (Eddy) Chen

University Of Greenwich

Dr. Hsueh-Ju (Eddy) Chen

Eddy is a Research Fellow with interests in AIoT and cybersecurity

Prof. Weiru Liu

University Of Bristol

Prof. Weiru Liu

Weiru’s interests are primarily on data-driven intelligent autonomous systems, including event reasoning and correlation in cyber-physical system and decision making.

Dr. Kim Bauters

University Of Bristol

Dr. Kim Bauters

Kim Bauters’s interests are primarily on artificial intelligence, logic programming, soft computing, and epistemic uncertainty.

Dr. Kevin McAreavey

University Of Bristol

Dr. Kevin McAreavey

Kevin is a researcher in artificial intelligence with a particular focus on problems related to agents and multi-agent systems, including human-agent interaction.

Prof. Asimina Vasalou

University College London

Prof. Asimina Vasalou

Mina is a professor in Interaction Design at UCL Knowledge Lab with interests in digital learning, design methods for interaction design, and the relationship between technology and social practice.

Dr. Selena Nemorin

University College London

Dr. Selena Nemorin

Selena’s research interests include critical theories of technology, surveillance, tech/AI/IoT ethics, youth & future media, and human rights policy and practice in pre- and post-secondary institutions.

Dr. Laura Benton

University College London

Dr. Laura Benton

Laura is a human-computer interaction researcher with expertise in working with users to inform the design of new technologies.

Dr. Sara Kalantari

University College London

Dr. Sara Kalantari

Sara is a design researcher at UCL Knowledge Lab, where she studies user experiences, needs and behaviours to create value through ethical design.

Prof. Pasquale Malacaria

Queen Mary University London

Prof. Pasquale Malacaria

Pasquale works on mathematical models for information security and cybersecurity in particular information theory and optimization.

Dr. Yunxiao Zhang

Queen Mary University London

Dr. Yunxiao Zhang

Yunxiao is a Postdoctoral Researcher in cybersecurity. His research focuses on developing optimal cyber hygiene measures using optimisation and game theory.

Dr. Etienne Roesch

University Of Reading

Dr. Etienne Roesch

Etienne’s research focuses on clarifying the effects of inter-individual differences over the way we perceive, experience and act in our world pervaded with technology, mostly developing new stats methods to study brain and behavioural data or evaluating technology itself.

Dr. Simon Busch-Moreno

University Of Reading

Dr. Simon Busch-Moreno

Simon’s work focuses on neuroscientific and psychological research related with language and individual differences, and in the application of Bayesian statistics for the analysis of electrophysiological and behavioural data.

Contact Us

Contact Details

You may contact George Loukas (Project Principal Investigator) using the following contact information.

Room QM412, University of Greenwich, Old Royal Naval College, SE10 9LS, UK
Phone: +44 (0) 30 8331 9612
Email: g.loukas [at] gre.ac.uk

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