Research summary
The fitness tracker on your wrist and the digital camera on your desk are examples of embedded devices. As we increase the use of artificial intelligence (AI) systems, these devices will face cyber threats that are more challenging to detect, prevent and attribute. Most organizations and institutions that currently use embedded devices are ill-equipped to assess or address these potential security problems.
Dr. Natalia Stakhanova, Canada Research Chair in Security and Privacy, aims to improve the resiliency of next-generation embedded devices through AI-guided threat prediction, analysis and mitigation. She and her research team are uncovering weak points in embedded devices at a large scale and providing technological support for forecasting cyber incidents before they occur. This will provide the ability to pinpoint where hostile actions may take place, giving organizations critical time to address problems without incurring damages.