Reference number : GC-2017-Q2-04299, amendment number : , agreement type : G, recipient legal name : Ghorbani, Ali-akbar (University of New Brunswick)|Ghorbani, Ali-akbar (Université du Nouveau-Brunswick), recipient country : CA, recipient province : nan, recipient city : New Brunswick|Nouveau-Brunswick, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Cyber insurance underwriters need to rapidly assess the cybersecurity risk of prospective cyber insurance_x000D_
clients in order to quote appropriate premiums for different cyber insurance coverages. Underwriters are_x000D_
currently relying heavily on their expert professional judgment to determine the key indicators of cybersecurity_x000D_
risks for different coverages. The Primary objective of this research project is to design, develop, and test a_x000D_
neural network-based cyber risk classification tool that can adapt to the changing indicators of cyber risk and_x000D_
make cyber incident risks classification based on current and historical trends in malicious cyber activities., program purpose french : Cyber insurance underwriters need to rapidly assess the cybersecurity risk of prospective cyber insurance_x000D_
clients in order to quote appropriate premiums for different cyber insurance coverages. Underwriters are_x000D_
currently relying heavily on their expert professional judgment to determine the key indicators of cybersecurity_x000D_
risks for different coverages. The Primary objective of this research project is to design, develop, and test a_x000D_
neural network-based cyber risk classification tool that can adapt to the changing indicators of cyber risk and_x000D_
make cyber incident risks classification based on current and historical trends in malicious cyber activities., agreement title english : A Neural Network Based Cyber Insurance Risk Classification Tool, agreement title french : A Neural Network Based Cyber Insurance Risk Classification Tool, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-09-20, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada