Reference number : 172-2020-2021-Q2-958601, amendment number : 1, agreement type : G, recipient legal name : The University of New Brunswick, recipient country : CA, recipient province : NB, recipient city : Fredericton|Fredericton, recipient postal code : E3B 5A3, program name english : Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives, program name french : Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D, program purpose english : Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas., program purpose french : Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires., agreement title english : Secure and resilient fog computing framework for intelligent transportation systems, agreement title french : Un cadre d’informatique géodistribuée sûr et robuste pour les systèmes de transport intelligents, agreement number : 958601, agreement value : 192000.0, agreement start date : 2020-09-01, agreement end date : 2024-08-31, description english : Logistics, which is the process of planning, implementing and controlling the flow and storage of goods and services from the point of origin to the point of consumption, is essential for successful and sustainable economic growth in Canada. However, due to pressure from saturated markets, new customer demands and adverse seasonal weather conditions, the logistics systems in Canada face many new complex challenges. Recently, the rapid technological convergence between
Internet of Things (IoT), Fog/Cloud Computing, and AI has made Logistics 4.0 possible, which has significant potential to improve the quality of logistics in Canada by providing benefits such as real-time big data analytics for optimized routing and reduced storage requirement without information disruption. Nevertheless, Logistics 4.0 still faces many security and privacy challenges, such as veracity of data, robustness of IoT and Fog devices, and privacy-preserving big data AI
processing. The proposed research project aims to address these challenges by contributing to the development of a secure and resilient fog computing framework for Intelligent Transportation Systems (ITS) to address the
threats to ITS, including those to field devices such as IoT devices, sensors, traffic signals, roadside equipment, and those to transportation management centers. Specifically, we will secure data in its whole cycle
within ITS, i.e., secure data collection, data transmission, data storage, and data processing within ITS. Novel techniques, including privacypreserving AI data processing, lightweight authentication for IoT and Fog devices, and efficient malware detection techniques for IoT and Fog devices will be exploited in the framework for ITS., description french : Un cadre d’informatique géodistribuée sûr et robuste pour les systèmes de transport intelligents, expected results english : In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems., expected results french : À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides., additional information english : This agreement has been amended 1 time(s). The end date of this agreement has been modified by 365 days., additional information french : Cet accord a été modifié 1 fois.  La date de fin du présent accord a été changé de 365 jours., owner organization : nrc-cnrc, owner organization title : National Research Council Canada | Conseil national de recherches Canada