Title:
Security of data provenance and machine learning for the Internet of Things
Agreement Value:
$303,460.00
Agreement Date:
Sep 1, 2020 - Aug 31, 2024
Description:
This project will develop new methods to ensure the security of IoT devices in large corporate networks. Data provenance and machine learning will be the main project tools. Provenance establishes the trustworthiness of the data generated by devices, which can in turn be used for training machine learning models that detect malicious behaviour. A major focus of the research will be to ensure that the new techniques do not introduce additional attack vectors. The project will investigate the vulnerability of ML-based systems to attacks that specifically target ML algorithm, and the project team will apply robust learning techniques where necessary to protect against such attacks. Distributed ledgers will be leveraged to provide tamper resistance to the data provenance information.
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:
172-2021-2022-Q4-958604
Report Type:
Grants and Contributions
Recipient Business Number:
108162025
Additional Information:
This agreement has been amended 1 time(s). The total amended value is 303,460 dollars and the end date of this agreements has been modified by 365 days
Amendment Date
Feb 24, 2022
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.