Advancing the science of cybersecurity

Cyber Science Lab leads multidisciplinary research initiatives at the intersection of cybersecurity, artificial intelligence, digital forensics, and critical infrastructure protection. In response to the rapid proliferation of Internet of Things (IoT) technologies and the emergence of autonomous cyber defence, blockchain, and AI-enabled systems, the Lab advances research, partnerships, and training initiatives that strengthen the security, resilience, trustworthiness, and privacy of increasingly interconnected environments.

Current Research Initiatives

Past Research Initiatives

Show past initiatives (28)

Advancing the science of cybersecurity

Current Research Initiatives

Agri-Food Cybersecurity

Secure-Agro Training

Self-Healing AI Security via Autonomous Patch Generation & LLM Autovaccination

Unlocking Security Insights Through Log Analysis in LLM-Powered Applications

Leveraging Large Language Models to Enhance Monitoring and Reporting in Meat Processing Facilities

Securing Canada’s Critical Infrastructure

Cybersecurity for Critical Infrastructures

Multi-Modal Forensics Analysis of AI Artifacts for Cyber Threat Attribution

Past Research Initiatives

A Cyber Security Testing and Monitoring and Threat Hunting System for Protecting the Agriculture Research And Innovation

ML-Enhanced SOAR Framework for Proactive Threat Response in Managed Security Operations

Adaptive ML-Driven Detection of Scheduled Task Anomalies and Automated

Multi-tiered Threat Intelligence Service Development for a Managed Security Services Provider

Developing Domain Specific Deep Learning Models for Phishing Detection

Detecting Intrusions Stemming from MSFT Co-Pilot in Windows 11

Digital Identity Transformation Program

Automating Insider Threat Monitoring and Detection

Automating Purple Teaming Exercises

A framework to enhance deep learning systems' trustworthiness against Out of Distribution examples

An AI-powered Scientific Document Recommender System for Academic and Technical Resources

A Robust Malware Threat Hunting System and Method based on Deep Neural Networks in IoT environments

Detection of malicious documents by extracting and interpreting macros in Microsoft Office files

Creating a comparison and alert methodology for managing the CCTX feed

Cyber Threat Intelligence Integration with MISP Threat Sharing

Critical Infrastructure Protection: Forensics, Assurance, Analytics

A Cyber Security Monitoring and Threat Hunting for Protecting Smart Farming System

A Cyber Threat Hunting and Intelligence System for Smart Grid

Detection of Enumeration Attacks in Cloud environment using Infrastructure log data

Classification and Anomaly Detection of Network Traffic at the edge using Transfer Learning

Security and Resiliency of Smart Farming Systems

A Cyber Security Monitoring and Threat Hunting System for Protecting Smart and Precision Farming Systems

Artificial Intelligence-Aided Digital Forensics Examination

A Multiview Fuzzy Consensus Clustering System for Cyber Threat Attribution

Privacy4Forensics: A Formal Rule-Processing Engine for Privacy-Respecting Forensic Investigation

Novel Characteristic Extraction and Cybersecurity Detections for Generative AI

AI Democratization and Organizational Transformation Research

Cyber Threat Triage and Intelligence in Critical Infrastructure