G-BSIEM-PQC: Hybrid Consensus Architecture for Quantum-Resistant Security Information and Event Management (SIEM)

The G-BSIEM-PQC project is a pioneering cybersecurity initiative designed to fortify enterprise Security Information and Event Management (SIEM) systems against the existential threats posed by the post-quantum era. As quantum computing capabilities advance, the traditional cryptographic algorithms currently protecting critical infrastructure are becoming vulnerable to “harvest now, decrypt later” attacks. This research addresses this urgent […]

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It’s Not the System, It’s the Human: Leveraging Civilian Capability in Cyber Operations

The project will examine how Estonia incorporates civilian experts and volunteers into its national cyber defence, and what ethical, legal, and governance challenges arise from this growing role. By reviewing existing research, mapping Estonia’s cyber-volunteer ecosystem, and speaking with experts, the project will identify how democracies can safely and responsibly work with civilian cyber operators. […]

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TRLUP-Commercialization Strategy for a Secure Enterprise Management Platform (SEMP) for SMEs and Institutions In Nova Scotia

I am developing and commercializing a cybersecurity and enterprise management platform through Shortlist Enterprises Canada, a Nova Scotia–based technology company that integrates information security, data management, and business process automation into one scalable solution. The platform is designed to help small and medium-sized organizations operate more securely and efficiently while enabling compliance with ISO 27001 […]

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L2M – AI-Driven Cybersecurity for Ocean Critical Infrastructure

This project will develop an AI-powered cybersecurity system to help protect important ocean infrastructure, starting with offshore energy systems such as oil and gas, wind and tidal farms. These facilities are becoming a key part of Canada’s clean energy future but are also vulnerable to cyberattacks that could cause costly shutdowns or disruptions. The project […]

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Adversarially Resilient Federated Learning for Intrusion Detection in 5G Networks

This project will design and test a new privacy-preserving, attack-resilient cybersecurity system for 5G networks using Federated Learning (FL), an approach where multiple devices can train models together without sharing sensitive data. The goal is to improve protection against cyberattacks such as denial-of-service and model poisoning, which threaten the reliability of modern mobile services like […]

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Adaptive Human–LLM Teaming for Scalable Cybersecurity at eSentire

This project will explore how AI can best complement human expertise in cybersecurity operations. The intern will collaborate with industry professionals at eSentire to study how tasks are currently performed, develop lightweight AI-based tools to support key workflows, and design a method to assess the impact of these tools in real-world conditions. The goal is […]

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L2M Validation / Qc Automne 2025 / Sécurisation des ordinateurs quantiques contre des cybermenaces

La concrétisation des ordinateurs quantiques introduit de nouveaux vecteurs d’attaque tels que les virus quantiques, les cyberattaques quantiques. Les outils actuels de détection des virus informatiques ou des menaces cyber n’ont pas été conçus pour les ordinateurs quantiques, les exposant ainsi à des nouvelles vulnérabilités qui peuvent être exploitées par les acteurs malicieux. Les fournisseurs […]

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L2M Validation / Qc Automne 2025 / AuthoMate

Les organisations canadiennes des secteurs financier, santé et cloud subissent d’énormes pertes économiques dues aux limitations des systèmes de contrôle d’accès actuels qui présentent des insuffisances majeures : incapacité à gérer simultanément les contraintes temporelles, historiques et contextuelles, vulnérabilités aux erreurs de configuration causant des violations de données (coûtant 6,32 M$ CAD par incident), et […]

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Enhancing Privacy Against Surveillance and Censorship in Future Internet Architectures

The dramatic growth of the Internet has enhanced access to information, fostering seamless communication and promoting effective collaboration. Unfortunately, advanced network traffic control and monitoring systems have empowered state-level actors to deploy large-scale surveillance and censorship mechanisms that track people’s Internet activities or limit their ability to freely access and publish information. Recently, multiple initiatives […]

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L2M QC Spring 2025 | Tools for the automation of auditing of smart contracts for blockchain applications

The increasing adoption of blockchain technology, particularly in decentralized finance (DeFi), highlights the critical need for automated and efficient auditing tools for smart contracts and transaction monitoring. Traditional manual auditing methods are slow, labor-intensive, and insufficient to manage the growing complexity of smart contracts. By integrating AI-based techniques, this project aims to develop automated tools […]

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