The AMLoE project investigates vulnerabilities of machine learning (ML) when deployed on the edge and aims to produce new means of testing and improving their robustness whilst not compromising significantly on accuracy and performance.
The CoSTCMoRS project is developing a hybrid and adaptive approach to combining AI and a socio-technical model to identify and detect cyberattacks and create a holistic & fast response to cyber incidents to ensure the security, safety, and functionality of a modern railway system (MRS).
The HIPSTER project will help professional software developers in Health IoT, especially in small to medium companies, to address the trust, security and privacy needs of their systems in the most cost-effective way.
Power-SPRINT investigates the cybersecurity risks posed by the growing integration of IoT-enabled smart-home appliances on power grid operations.
Project PrivIoT: David Buil-Gil, James Nicholson, Lynne Coventry, Stefanie Kuenzel, Sameh Zakhary
The PrivIoT project explores digital harms in the interaction between home IoT devices, smart meters, and Demand-Side Mangement (DSM) technologies, and develop conceptual tools to improve users’ situational awareness and agency.
PSWaRMS investigates security processes for cyber-physical systems found in utilities, focusing on the water sector. The approach will be also be monitored and assessed alongside another utility company.
Roast-IoT’s vision is to enable all sensed data and actuation on IoT platforms to be anonymously traced back to securely calibrated sensors whilst ensuring that anonymity can be stripped back when things go wrong and the law gets involved.
Congratulations to the Members and Experts!
Call for Events is now open! We're supporting Members and Expert Fellows to lead activities that explore aspects of TIPS in the Digital Economy. We will help to organise the activity with up to £5,000 to cover the associated costs.