Grants and Contributions:
Title:
Secure and resilient fog computing framework for intelligent transportation systems
Agreement Number:
958601
Agreement Value:
$192,000.00
Agreement Date:
Sep 1, 2020 - Aug 31, 2024
Description:
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.
Organization:
National Research Council Canada
Expected Results:
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.
Location:
Fredericton, New Brunswick, CA E3B 5A3
Reference Number:
172-2020-2021-Q2-958601
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
108162025
Recipient Type:
Academia
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreement has been modified by 365 days.
Amendment Date
Dec 19, 2023
Recipient's Legal Name:
The University of New Brunswick
Federal Riding Name:
Fredericton
Federal Riding Number:
13003
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
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.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences
Amendments: