Consumer Internet of Things (IoT) systems are increasingly popular, but with few security regulations and standards in the sector, device abuse is a growing problem worldwide.
The management of IoT consumer systems data and attacks on those systems by hostile actors can have serious ramifications for personal privacy and safety.
Join the Institute for Security Science and Technology (ISST) and I-X for a panel event exploring the vulnerabilities of consumer IoT systems, the opportunities for improving their security, and what their future might look like.
Held under the Chatham House Rule, there will be opportunities for engagement and discussion from audience members. The panel will be followed by a catered lunch and networking.
The event will be chaired by Dr Hamed Haddadi, Reader in Human-Centred Systems at Imperial College London’s Department of Computing, lead of the Privacy and Security Research Area at I-X, Chief Scientist at Brave, and Security Science Fellow at the Institute for Security Science and Technology.
Dr Haddadi will be joined by three speakers:
Dr Anna Maria Mandalari – Assistant Professor at the UCL Department of Electronic and Electrical Engineering and Honorary Research Fellow at the Institute for Security Science and Technology.
Dr Leonie Maria Tanczer – Associate Professor in International Security and Emerging Technologies at UCL Computer Science.
Professor Payam Barnaghi – Professor of Machine Intelligence Applied to Medicine at Imperial College London’s Department of Brain Sciences and Deputy Head of Care Research and Technology Centre at the UK Dementia Research Institute (UK DRI).
ISST Talks are hosted by the Institute for Security Science and Technology, Imperial College London’s hub for security research. These events convene thought leaders and relevant stakeholders to discuss grand challenges in security, with the aim of facilitating knowledge exchange.
Dr Hamed Haddadi is a Reader in Human-Centred Systems at Imperial College London’s Department of Computing, lead of the Privacy and Security Research Area at I-X, and Security Science Fellow at the Institute for Security Science and Technology. He is also Chief Scientist at Brave. Dr Haddadi is a core member of the Machine Learning Initiative at Imperial, an Academic Fellow of the Data Science Institute, and an Associate Centre of Excellence in Cyber Security Research. His research interests are in User-Centred Systems, IoT, applied machine learning, privacy, and human-data interaction.
Dr Anna Maria Mandalari is Assistant Professor in the Department of Electronic and Electrical Engineering at University College London and Honorary Research Fellow at the Institute for Security Science and Technology at Imperial College London. She was a METRICS Marie Curie Early Stage Researcher affiliated with the University Carlos III of Madrid (UC3M). Her research interests relate to IoT, privacy, security, large-scale Internet measurements, Internet measurement platforms, middleboxes and new Internet protocols.
Dr Leonie Maria Tanczer is Associate Professor in International Security and Emerging Technologies at University College London (UCL) Computer Science. She is a member of the Advisory Council of the Open Rights Group (ORG), Steering Committee Member for the Offensive Cyber Working Group, affiliated with UCL’s Academic Centre of Excellence in Cyber Security Research (ACE-CSR), and former Fellow at the Alexander von Humboldt Institute for Internet and Society (HIIG) in Berlin.
Professor Payam Barnaghi is Professor of Machine Intelligence Applied to Medicine in the Department of Brain Sciences at Imperial College London. He is Deputy Head of Care Research and Technology Centre at the UK Dementia Research Institute (UK DRI). He is also a Visiting Professor in the Great Ormond Street Institute of Child Health at UCL. His main research goal is to develop AI and machine learning solutions for healthcare and create affordable and scalable digital systems that can be applied across a range of health conditions. He works on machine learning, Internet of Things (IoT), adaptive algorithms and computational neuroscience to solve problems and develop new technologies for future healthcare systems.
About the Institute for Security Science and Technology (ISST)
Security is often only viewed through the narrow lens of conflict and war. Our mission at the Institute for Security Science and Technology is to challenge that perception and demonstrate the breadth and depth of a topic that touches everyone in society, wherever they are in the world.
About I-X
I-X is a new initiative from Imperial College London, co-locating world-leading researchers and the next generation of graduates with startups and businesses in artificial intelligence and machine learning. I-X is providing a new way for academia and industry to collaborate deeply, using AI and ML to tackle our greatest challenges.