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 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 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 develop new techniques to optimise the IoT search processes and examine the quality of the reseults.
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 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.