Our team works closely with industrial partners, applying its expertise to companies’ specific technical problems — backed by NSERC, MITACS, FedDev Ontario, and industry collaborators.
Investigating the requirements of implementing NIST-approved Post-Quantum Cryptography and helping Canadian academics access and improve these designs — the Centre’s flagship program.
Adversary-aware methods for safety, security, and privacy in V2X networks, jointly evaluating threat indicators and situational context to support adaptive security decisions.
Assessing the semantic, physical, and contextual trustworthiness of vehicular information — detecting false safety messages even when they are cryptographically authenticated.
Hardware design and ASIC implementation of side-channel-resistant CRYSTALS-Kyber for post-quantum cryptography, evaluated on an industry-grade side-channel measurement platform.
Integrating homomorphic encryption and oblivious AI into regulatory guidance for smart mobility, supporting privacy, compliance, and secure AI adoption.
Customizing Threat Analysis and Risk Assessment for heavy-duty vehicles and supporting Ontario SMEs with tailored automotive-cybersecurity assessments.
Secure charging-session management using rotating and hashed credentials, distributed auditability, and secure session-resumption to counter impersonation and fraudulent access.
Security-aware firmware fuzzing and blockchain-supported over-the-air update security for improved integrity, traceability, and accountability in connected vehicles.
Advancing hardware security for automotive applications and the impact of quantum computation — the program that helped establish the SHIELD Centre of Excellence.
A machine-learning method using the side-channel signature of integrated circuits to detect malicious, undesired modifications (“Hardware Trojans”) in outsourced ICs.
Investigating the hardware-security issues of electric-vehicle fleets relying on battery-exchange infrastructure — an area under-served by prior research.
Custom-designed hardware secure against side-channel device attacks, protecting the vehicular communications behind collision warning, emergency signaling, and other active-safety applications.
Integrating physical and hardware security into automotive specifications, including dedicated hardware security modules for cryptographic operations.
A cost-effective, accurate point-of-care testing method using thin-film-transistor electrical sensing to detect COVID-19 from minimally processed patient samples.
An imaging system for welding that withstands harsh arc-light conditions, with ~140 dB high dynamic range and accessible digital registers for DSP-based algorithms.
An automated machine-learning inspection system to detect faulty automotive parts, replacing inconsistent manual inspection of thin, irregular surface defects.
A vision-based algorithm that reliably and non-destructively flags non-ideal conditions on airbag fabric in real time, while still on the loom.
Integrating sensors, microelectronic signal processing, FPGA, vehicle networking, fault-tolerant chassis control, and data fusion into a dedicated micro-controller-based safety system.
SHIELD partners with industry and government to translate research into deployable, secure automobility solutions.