Canada Spends Logo

Explorez notre analyse du budget 2026

Grant: Canada Research Chairs

University of New Brunswick

$200,000.00

Cybersecurity

EF 2023-24

Résumé
A robust cybersecurity sector is critical for Canada's prosperity and economic stability. Governments recognize the benefits of a connected digital economy and the rising threats from malicious actors seeking to access personal and financial information. This research program on the Science of AI-Driven Cybersecurity will develop solutions for the evolving threat and data-intensive cyber-infrastructures by combining cybersecurity and artificial intelligence and the value and meaning of security data. The overarching objectives of the proposed CRC program are: 1) contribute to Canadian society by being a transformational leader in cybersecurity, providing thought leadership and connectivity for the Canadian cybersecurity ecosystem; 2) offer high-quality cybersecurity training that academically impacts all disciplines and communities; 3) conduct high-impact research and innovation through collaboration with academic peers & students and partnership opportunities with the private and public sectors; and 4) establish national and international partnerships. The shift to a digital economy calls for a new, AI-powered, human-centric approach to cybersecurity. The principal research objectives are: 1. Investigate how data analytics and machine learning models impact the development of an advanced cybersecurity threat intelligence platform for threat derivation, characterization, modelling, evolution, prediction, detection, and mitigation, as well as the identification of the threat actors and understanding of the nature and complexity of new and emerging cyber threats. 2. Develop a cyber attribution framework for feature extraction and data correlation, identifying actors behind hostile cyber activities using tools including analysis of network forensics, host forensics, malware analysis, online hostile/fake information analysis, and code similarity analysis. 3. Investigate how AI-powered technologies can be used to identify and analyze potential cyber threats on Internet-connected systems, emergent networks, and operational technology. All objectives share a common goal and build toward the planned research program on AI-Powered intelligent cybersecurity services and management. What makes the proposed program unique and innovative is its focus on socio-technical aspects, the human element, industry partnerships, entrepreneurship, and a holistic approach combining AI technologies, processes and structures with cybersecurity.
Programme
Canada Research Chairs
Emplacement
New Brunswick, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
CRC-2022-00018
Name nom
Ghorbani, Aliakbar
Department département
Faculty of Computer Science - University of New Brunswick
Organization id
75
Institution établissement
University of New Brunswick
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
200000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
10000
Area of application group en
The socioeconomic objective available
Area of application group fr
L'objectif socioéconomique disponible
Area of application en
The socioeconomic objective available
Area of application fr
L'objectif socioéconomique disponible
Research subject code
10000
Research subject group en
The field of research available
Research subject group fr
The field of research available
Research subject en
Le domaine de recherche disponible
Research subject fr
Le domaine de recherche disponible
Field of research list codes
RDF1020601
Field of research list names en
Information system security
Field of research list names fr
Sécurité des systèmes d'information
Socioeconomic objective list codes
RDS10406
Socioeconomic objective list names en
Communication technologies, systems and services
Socioeconomic objective list names fr
Technologies, systèmes et services de communication
Application title
Cybersecurity
Keyword
Cybersecurity; Malware analysis and detection; Risk analysis and management; Security-oriented user profiling; Privacy enhancing technologies; Machine learning; Critical infrastructure protection; Human-centric cybersecurity; Network security; Threat intelligence
Application summary
A robust cybersecurity sector is critical for Canada's prosperity and economic stability. Governments recognize the benefits of a connected digital economy and the rising threats from malicious actors seeking to access personal and financial information. This research program on the Science of AI-Driven Cybersecurity will develop solutions for the evolving threat and data-intensive cyber-infrastructures by combining cybersecurity and artificial intelligence and the value and meaning of security data. The overarching objectives of the proposed CRC program are: 1) contribute to Canadian society by being a transformational leader in cybersecurity, providing thought leadership and connectivity for the Canadian cybersecurity ecosystem; 2) offer high-quality cybersecurity training that academically impacts all disciplines and communities; 3) conduct high-impact research and innovation through collaboration with academic peers & students and partnership opportunities with the private and public sectors; and 4) establish national and international partnerships. The shift to a digital economy calls for a new, AI-powered, human-centric approach to cybersecurity. The principal research objectives are: 1. Investigate how data analytics and machine learning models impact the development of an advanced cybersecurity threat intelligence platform for threat derivation, characterization, modelling, evolution, prediction, detection, and mitigation, as well as the identification of the threat actors and understanding of the nature and complexity of new and emerging cyber threats. 2. Develop a cyber attribution framework for feature extraction and data correlation, identifying actors behind hostile cyber activities using tools including analysis of network forensics, host forensics, malware analysis, online hostile/fake information analysis, and code similarity analysis. 3. Investigate how AI-powered technologies can be used to identify and analyze potential cyber threats on Internet-connected systems, emergent networks, and operational technology. All objectives share a common goal and build toward the planned research program on AI-Powered intelligent cybersecurity services and management. What makes the proposed program unique and innovative is its focus on socio-technical aspects, the human element, industry partnerships, entrepreneurship, and a holistic approach combining AI technologies, processes and structures with cybersecurity.