With the increasing proliferation of digital technologies in business, cyber attacks also continue to grow in volume and sophistication. To remain vigilant against such attacks, many organizations are turning to artificial intelligence (AI) technologies such as deep learning and natural language processing to improve threat intelligence, prediction, and protection.
The Smart Cyber research group at CBAP conducts applied research with the aim to help organizations design, develop and use AI technologies to improve incident detection, reduce attack surface, decrease breach impact, and minimize successful attacks. We also conduct conceptual and empirical research to investigate managerial and technological drivers and barriers, and organizational best practices in the implementation and institutionalization of AI technologies for cyber security.
Current Research
- Threat Detection & Incident Response Management
- User & Entity Behavior Analytics (UEBA)
- Machine Learning for Identity Fraud Detection & Prevention
Funded Projects & Research Publications
- Network Traffic Classification for Cyber Threat and Malware Detection (MITACS & Bell Canada)
Researchers
- Umar Ruhi
Director, Centre for Business Analytics & Performance
Associate Professor, Business Analytics & Information Systems, Telfer School of Management, University of Ottawa
- Bijan Raahemi
Director, Digital Transformation & Innovation Graduate Programs
Professor, Business Analytics & Information Systems, Telfer School of Management, University of Ottawa
- Brad Conlin
Ph.D. Candidate, Digital Transformation & Innovation, University of Ottawa
Senior Business Support Analyst, Entrust Datacard
- Abdul Rahman Sattar
Industry Research Affiliate
Lead Architect, Cyber Security Analytics, Telus Communications
Participating Organizations:
