Network Traffic Classification for Cyber Threat and Malware Detection

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast […]

Read More
An Intelligent mixed-reality simulation & training ecosystem for extreme environments

In this project, we aim to design and develop an Intelligent mixed-reality Simulation & training ecosystem for Extreme Environments (I.SEE), which will be an innovative mixed-reality simulation ecosystem of hyper-realistic and fully immersive experience for enhanced crisis response, management, training, and data analysis. The ecosystem will be built based on a three-layer architecture: (i) On […]

Read More
Automating Configuration and Performance Management of Data Centers

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This […]

Read More
Automating Configuration and Performance Management of Data Centers – Year two

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This […]

Read More
Accelerating audio matching on multicore machines

The multiple audio sequences matching problem can be regarded as a pattern identification problem with inputs of multiple highly fragmented audio sequences. Singular Software develops a product which employs a model-based alignment algorithm to match audio sequences on a common time line to solve this problem. This product relies on computationally intensive mathematical operations such […]

Read More
Les dynamiques du jeu de rôle dans les jeux vidéo émergents

Dans le but d’offrir des expériences narratives toujours plus enrichissantes, Ubisoft Montréal en partenariat avec Nicolas Galipeau de l’Université du Québec en Abitibi-Témiscamingue développeront un prototype de jeu poussant les limites de la narration en jeu vidéo. En développant un nouveau système d’intelligence artificielle répondant aux actions du joueur, ils créeront conjointement un prototype de […]

Read More
Simulating bead deposition and heat transfer mechanisms for metal based additive manufacturing processes for complex components

Additive manufacturing (AM) is a process family in which layers of material are deposited to create components. It can also be used to repair complex 3D parts. The scope of this research is to establish a process planning framework for metal-based bead deposition processes that considers the various heat cycling, materials, and process parameters. The […]

Read More
Heterogeneous Compilation for P4 and Caching for high-performance networking

Today’s data-center network services cover a broad spectrum that evolve rapidly which means that regularly new services need to be deployed in production networks in a timely manner. Using network programmability, a network programmer can write a precise specification of what the network behaviour should be, and this specification is translated by a compiler and […]

Read More
Accelerate Transaction Latency of Pool Mining in Cryptocurrency Networks

In this project, using such mainstream cryptocurrencies as BitCoin and Ethereum as representatives, the intern will analyze the transaction collection strategies of their mining pools, and then collect transactions and the corresponding blocks data to build a large dataset, from which the computing power of different mining pools and their proportions will be analyzed, together […]

Read More
Impact of Post-Quantum Cryptography on PKI, Common Libraries, Protocols and Crypto Agility Requirements

Advances in quantum computing have Entrust Datacard and their customers concerned about whether the industry is ready to move to post quantum cryptographic algorithms, particularly for PKI use cases. Entrust Datacard and University of Ottawa will test the quantum-readiness of commercially-available PKI. The end goal is to provide guidance to the community about the impact […]

Read More
The control tower of the future

In our vision, each human operator participating to an emergency response mission should equipped with a portable mobile command center that collects, elaborates and displays the meaningful information generated within the area of operations. In such scenario, the availability of a reliable network able to offer the required performance and reliability to an heterogeneous set […]

Read More