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Grant: Discovery Grants Program - Individual

University of Western Ontario

$48,000.00

Active Intrusion Prediction and Response for Computing Devices on the Internet

EF 2021-22

Résumé
clustering; discrete event systems; Intrusion detection; Intrusion response; Machine learning; network attack prediction; Network security; pattern classification; supervised learning
Programme
Discovery Grants Program - Individual
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2017-04755
Name nom
Samarabandu, Jagath
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2017
Award amount
48000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
803
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer communications
Area of application fr
Téléinformatique
Research subject code
2508
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Communications networks
Research subject fr
Réseaux de télécommunications
Installment
inst:5; 6
Partie
2
Nb partie
6
Application title
Active Intrusion Prediction and Response for Computing Devices on the Internet
Keyword
NSERC
Application summary
clustering; discrete event systems; Intrusion detection; Intrusion response; Machine learning; network attack prediction; Network security; pattern classification; supervised learning