Academic teams progress commercialisation plans through CyberASAP

Designed to provide a comprehensive package of support to academic teams looking to commercialise their cyber security ideas, CyberASAP has whittled down the number of teams participating in this year’s programme from 28 to 20.

A team of independent assessors based their selection decisions on the strength of the teams Value Propositions – a key part of Phase 1 of the programme. The following teams now progress to the Market Validation stage, which includes a Meet the Entrepreneur Day – a chance to draw on the insights of individuals who have successfully developed start-up businesses; something which CyberASAP aims to equip these teams to do:

#ID Security for IoT | University of Kent
A Tamper Guard and Intrusion Monitor using Zenneck Electromagnetic Surface-waves | University of Bristol
AI-Driven Secured Connected and Autonomous Vehicles (AI-DRIVEs) | University of Nottingham
An Intelligent Threat Hunting System Based on Linux Security Hardening and Mandatory Access Control Policies | Middlesex University
Artificial Behaviour Based Authentication for IoT | University of Leeds
CyberHelper | University of Southampton
CyberMIND | University of Wolverhampton
CyCIS: Cyber-Physical Critical Infrastructure Security | Cardiff University
Developer Essentials | Lancaster University
Developing a Quantum inspired Key Distribution System | University of Leeds
Digital Passport for Accessible Authentication (DP4AA) | Bournemouth University
Flexible querying of encrypted graph databases | University of Liverpool
Lupovis: A Wolf in Sheep’s Clothing | University of Strathclyde
MemCrypt | Edinburgh Napier University
Perfect Privacy-Preservation as a Service | Imperial College London
Secure VNF Service Management in 5G using Blockchain | London South Bank University
SensiChain – Secure Blockchain Alert Systems | University of Essex
Service Resilience Capability Assessment Tool (SR-CAT) | University College London
Software Tooling for Maritime Cyber Risk Assessment | University of Plymouth
Watermarking Machine Learning Models | Imperial College London

Once the Market Validation phase is complete, a further selection process takes place, with the final teams moving to Stage 2 of the programme where they develop their proof of concept.

This is year 4 of the CyberASAP programme, funded by the UK Government Department for Digital, Culture, Media & Sport and delivered through Innovate UK and KTN. Programme Directors are Emma Fadlon and Robin Kennedy. Find out more about the programme and how you could get involved here.

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