The UCL EEE SafeNetIoT Lab pioneers research into securing the Internet of Things (IoT) across critical environments. We identify and analyze vulnerabilities in IoT systems deployed in smart homes, healthcare facilities, and industrial infrastructures. Our work focuses on designing robust security protocols, privacy-preserving architectures, and real-time threat detection mechanisms tailored to constrained IoT ecosystems.
We hosted students and staff from the Norwegian University of Science and Technology's (NTNU) Cybersecurity program. The group engaged directly with our researchers developing revolutionary adaptive defense frameworks capable of evolving alongside emerging threats.
PhD Student Andrew visited Stockholm for RIPE's DNS Hackathon. He formed a team made and developed code to investigate the IoT traffic captures. They uncovered critical DNS-related security vulnerabilities in IoT devices, discovering the highly fingerprintable nature of the traffic
We recieved an invitation to visit the BBC's 'Blue Room' - the consumer technology research and demo lab from BBC Research & Development. We discussed our work on Smart TVs as well as our Matter Device study and the security of medical devices
Anna Maria Mandalari works as Assistant Professor at University College London (UCL). She is affiliated with the Electronic and Electrical Engineering Department, where she is the Director of the SafeNetIoT laboratory and the Director of the Internet Engineering/ Telecommunications MSc/ MRes Programme.
Dr Zieni (B.Eng., M.Eng, Ph.D. ) is a Senior Research Fellow in Computer Science and Engineering, joint the Department of Electrical & Electronic Engineering in UCL in 2024. Her current research is focus on homecare sensing technologies their communication, control system and privacy challenges.
Visiting researcher
Mohammad Alhussan highlights the potential vulnerabilities in wearable medical devices that utilise Bluetooth Low Energy (BLE) for communication. He shows how these attacks can compromise not only the confidentiality and integrity of potentially sensitive medical data transmitted by wearable medical devices, but also patients’ privacy and safety as well as sensors’ reliability
Andrew Losty's research examines the relatively new open-source Smart Home automation protocol, Matter. This protocol aims to unify the Smart Home ecosystem, eliminating the need for multiple apps and competing architectures, and is supported by over 270 manufacturers, including major tech leaders such as Amazon, Google, Apple, and Samsung.
Aurelio Canino's work analyzes a novel challenge: the potential exploitation of IoT devices for covert lawful interceptions, circumventing existing IoT safeguards. In this paper, a system to clandestinely capture audio or video data from IoT devices without an IoT safeguard being able to detect it is defined.
Please do not hesitate to reach out to collaborate etc.