WATCH: Catalyst Fellowship Program virtual panel on cyber regulations in Canada
In case you missed our Catalyst Fellowship Program Virtual Panel: Cybersecurity Threats in Canada, we explored the Canadian cybersecurity regulatory landscape surrounding IoT, GenAI, Blockchain, and other technologies with our expert panel: Vanessa Henri, Henri & Wolf Law Firm; Colin MacSween, Director General, National Cyber Security Directorate, Public Safety Canada; and Marc Watters, Policy Advisor […]
Autonomous fleets are almost here. Are they safe from cyberattacks?
The following op-ed first appeared in Newsweek on October 9, 2023. As our society transforms into a more connected world, an essential component of this shift is the need for safe and secure driving experiences on our roads. The recent hacking of a Tesla in under two minutes by France security firm Synacktiv demonstrates how serious a […]
Regulate artificial intelligence — before it’s too late
The following op-ed was written by Dr. Jeff Schwartzentruber, an industry fellow with the Catalyst Fellowship Program, and was first published in the National Post on July 7, 2023. We’re spanning the gap from weak to strong AI — and we’re outpacing ourselves. The Collision tech conference that took place in Toronto last week was […]
Catalyst Fellowship Program: A collaborative approach to improving cybersecurity
The following feature article was written for Innovation Issue 38: Summer 2023, a publication by Toronto Metropolitan University’s Office of the Vice-President, Research & Innovation. From remote work, to app-controlled appliances, to online shopping reviews, modern life has never been more connected. But this increased reliance on the internet comes with a related increase in […]
Fellowship Final Report: Quantifying Machine Learning Model Trustworthiness
The title of the proposed project was “Quantifying Machine Learning Model Trustworthiness.” Machine learning (ML) algorithms are at the core of modern AI. The focus of ML researchers in the past decade has been mainly on improving the performance of ML by developing novel algorithms to outperform the prior algorithms and complete even more complex […]
Fellowship Final Report: Shillings’ Attacks Detection in Recommendation Systems Using Hybrid Adversarial Deep Learning
Recommendation systems are ubiquitous in our daily lives, from suggesting products on e-commerce platforms to recommending movies on streaming services. These systems work by predicting a user’s preferences based on their past behavior and feedback, such as ratings or reviews. However, these systems are vulnerable to malicious attacks, such as shilling attacks, where fake ratings […]
Fellowship Final Report: Cyber Security for Current and Future IoT and Ubiquitous Computing Systems
“This final report covers the research project “Cyber Security for Current and Future IoT and Ubiquitous Computing Systems” of the inaugural Rogers Cybersecure Catalyst Research Fellowship program. Major findings of the project and recommendations on the cyber security of the Internet of Things (IoT) are discussed. In summary, IoT cybersecurity is both as critical and […]
Fellowship Final Report: Enhancing Cybersecurity with Automated Log Parsing and Anomaly Detection
A common mantra among cyber-security professionals is – ‘the more data the better’. Cybersecurity log collection and analysis is a critical function in the modern cyber-security toolset. Having a plethora of data sources allows for better correlation, increased levels of assurance and better investigation quality on security events. However, as the data scales, so does […]
Fellowship Final Report: Research on Connected & Autonomous Vehicles (CAVs)
The development of CAVs has changed our transportation roadmap. The modern vehicle is equipped with 100’s of Electronic Control Units (ECUs) that together contain many million lines of code. Due to this connectivity, a vehicle can communicate not only with systems in the Cloud through the Internet, but also with other vehicles and with roadside […]
