This project develops a methods to empower everyday end users to manage their privacy better.
This project develops a technique to detect cybert attacks using cyber physical behavioural data.
This project aims to explore how IoT can help to conduct wildlife research.
This project aims to study how IoT can be used to enhance cosplay experience.
This project developed an crowdsourcing platform that allows to dissect and compare IoT products.
This project aims to study how BLE beacons based technology can be used to track poachers.
This project aims to study how SMS based sensing technology can be used to track poachers.
This project aims to study Internet connected physical object manipulation based food ordering.
This project explores how to develop reusable privacy components facilitate IoT application development.
This project explores how to secture In-vehicle edge data communication and analytics.
This project aims to create a semantically enriched quarriable smart city data markets.
This project aims to analyse vulnerabilities of interactions between edge devices, cloud platforms and legacy ICS systems.
This project aims to develop a 100 node testbed to support data science and edge computing research.
This project explores optimal placement and scheduling of Service Function Chaining (SFCs) under security constraints
This project aims to explore how Privacy by Design techniques can be automatically integrate into a given IoT application design.
This project aims to develop usable techniques to capture non-functional requirements (e.g. Privacy) in the Internet of Things application designs
This project aims to explore how IoT can be taught efficitnely and effectively in differenct contexts (kids, highschoolers, university stdents, professional, hackers)
This project aims to develop new techniques to optimise the IoT search processes and examine the quality of the reseults.
This project aims at modelling building data with semantics to make them meaningful so the building managers (sustainable) can run sophisticated expressive queries over the data.
We explore how our previously proposed guideline can be used to design ‘new’ IoT applications.
This project aims to extract privacy tactics and privacy patterns that can be used to common challenges in IoT applications.
This project aims to develop AI based negotiation techniques to assist end users to better protect their privacy
The Sensing as a Service (S2aaS) model promotes data exchange/trading between data owners and data consumers.
Fog computing is an architecture that uses near-user edge devices to carry out a substantial amount of computation, storage, communication.
This project explores the privacy issues in Internet of Things domain in order to identify privacy challenges from different stakeholder point of views and potential research directions to address them.
In this project, we present Feed me, Feed me, an exemplar that represents an IoT-based ecosystem to support food security at different levels of granularity: individuals, families, cities, and nations.
This project explores how BLE beacon signal strength arise in three different real world environment in order to extract design guidelines.
We designed, implemented and evaluated the Ghost Detector - an educational game for children to demonstrate the viability of applying seamful design in location-based mobile museum applications.
We survey over 100 IoT smart solutions in the marketplace and examine them closely in order to identify the technologies used, functionalities, and applications.
This project explores the use of natural language to give instructions that might be interpreted by Internet of Things (IoT) devices in a domestic ‘smart home’ environment.
The OpenIoT middleware infrastructure supports flexible configuration and deployment of algorithms for collection, and filtering information streams.
This project aims to envision search, discovery and configuration in Internet of Things domain.
This project aims to build a mobile sensor data processing platform for resource constrained devices to support sensing as a service model.
This project aims to explore the possibility of using mobile phone as a sensor.