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EPSRC Support by Socio-economic Theme in Safe and Secure ICT

EPSRC classifies the research it supports by socio-economic theme. This taxonomy has been used to classify all grants current on 1st January 2003 or received after this date.

Please note that the assignment of a theme to a grant indicates that the theme may apply in whole or in part to the research activity of that grant. This means that the values of grants within a classification should not be totalled to find the total investment in that area or to compare investment between areas of research. The value shown for each grant is always the total awarded, not the proportion attributed to the individual socio-economic theme.

Grant TitlePrincipal
Investigator
OrganisationDepartmentTotal Grant
Value (£)
DeepSecurity - Applying Deep Learning to Hardware SecurityO'Neill, Professor MQueen's University of BelfastSch of Electronics, Elec Eng & Comp Sci 765,827
Fast Runtime Verification via Machine LearningGrigore, Dr RUniversity of KentSch of Computing 100,918
Provably Secure Decisions Based on Potentially Malicious Trust RatingsMuller, Dr T J CUniversity of OxfordComputer Science 92,902

Total Number of Grants: 3
Total Value of Grants: £959,647

The grant value may include the cost of access to facilities (these funds are not awarded to the grant holding organisation).