About

The Cybersecurity and Digital Trust UMR aims to promote a safe and secure digital world. As the digital transformation of our activities progresses, cybersecurity is becoming more complex and important than ever, affecting software, hardware, and human aspects. It aims to protect our digital data and assets but also to ensure that our interactions in the digital world are secure and respect our privacy.  

Digital trust is trust in the people, processes, and technology that ensure the security and safety of our interactions in the digital world. It includes trust in the platforms we entrust with our private data, but also trust in the information shared online and in the artificial intelligence tools that are increasingly becoming an integral part of this digital world. 


Areas of expertise

Protection of digital assets and human factors

  • Network security and intrusion detection systems
  • Security of IoT devices
  • Software vulnerabilities
  • Human factors in cybersecurity

Artificial intelligence and digital trust

  • Automated agents in cybersecurity  
  • Algorithmic biases  
  • Use and risks of generative AI for code generation and analysis, as well as for society 
  • Explainable, responsible, and ethical AI 
  • Security issues of federated learning  
  • AI and its implications in (cyber)psychology and (cyber)psychiatry 

Trust in the digital world

  • Online information and disinformation  
  • Detection of deepfakes and identity theft 
  • Identity and privacy online and in the metaverse 
  • Multimodal biometrics and forensics 
  • Compression of large AI models for more secure edge applications  
  • Blockchain and its applications 

Mission

By bringing together researchers with diverse profiles and expertise in the areas of cybersecurity and digital trust, the joint research unit creates a stimulating environment for research and for training qualified personnel in these fields. It is a centre of excellence that drives academic life at UQO and fosters collaboration between UQO and INRS researchers and other academic institutions in Québec, as well as public and private practice environments in the region.

Members and researchers 

Zakaria Abou El Houda (INRS)

Zakaria Abou El Houda is an assistant professor at Institut national de la recherche scientifique (INRS), within the Energie Matériaux Telécommunications Centre. His research work encompasses the fields of network security and focuses, among other things, on artificial intelligence applied to cybersecurity, particularly to intrusion detection systems in critical networks (e.g. smart grids, the Internet of Things (IoT), industrial IoT), the study of the explainability and robustness of these systems, security in distributed/federated machine learning, and blockchain. He specializes in automation and security enhancement issues for next-generation networks (5G and beyond/6G). 

 

Publications : https://scholar.google.com/citations?hl=en&user=rrLpEjoAAAAJ 

Zakaria Abou El Houda (INRS)

Anderson Ávila (INRS)

Dr. Anderson Avila is an assistant professor at the Institut national de la recherche scientifique (INRS), within the Energie  Matériaux Telécommunications Centre. His research focuses on areas such as federated learning for data protection, cyber defence, automatic processing of human languages, and biometrics. Dr. Avila obtained a bachelor’s degree in computer science from the Federal University of São Carlos, a master’s degree from the Federal University of ABC, and a doctorate from INRS. Prior to his current position, he worked as a researcher in natural language and speech processing, focusing on model compression, low latency, and robustness in spoken language understanding. 

 

Publications: https://scholar.google.com/citations?user=Q0hJ-hAAAAAJ&hl=en 

Anderson Ávila (INRS) 

Stéphane Bouchard (UQO)

Professor Bouchard’s research projects focus on the development of virtual reality environments to treat complex anxiety disorders and pathological gambling, conducting clinical trials on the effectiveness of in virtuo exposure for anxiety disorders and leading experimental studies to understand why virtual reality is an effective therapeutic tool for generating strong emotional experiences. This work involves cybersecurity and digital trust in several respects, from the risks posed by access to highly confidential information to the consequences of experiences in the metaverse. Telepsychotherapy is another prolific field of research, where he conducts clinical trials and studies of the mechanisms underlying the effectiveness of cognitive-behavioural psychotherapy applied via videoconference. Here again, the implications for cybersecurity and digital trust are important in guiding mental health professionals in the application of best cybersecurity practices. His research laboratory is home to Psyché, the only six-sided immersive vault dedicated to research in mental health and cybersecurity. He has received several awards and distinctions, including the Adrien Pinard prize in 2014 for his contribution to the field of psychology. 

Publications: https://scholar.google.com/citations?hl=en&user=WigdrgwAAAAJ 

Stéphane Bouchard (UQO)

Alan Davoust (UQO)

Alan Davoust is an associate professor in the Department of Computer Science and Engineering at UQO. His research focuses mainly on the interaction of agents and/or people in computer systems. He is interested in distributed systems from a multi-agent perspective, particularly the interactions between people and automated agents, and the biases and issues of trust associated with these interactions. He is also interested in the ethical dimensions of artificial intelligence and socio-technical systems. 

Publications: https://scholar.google.com/citations?hl=en&user=32SzsWcAAAAJ 

Alan Davoust (UQO) 

Tiago H. Falk (INRS)

Tiago H. Falk is a full professor at Institut national de la recherche scientifique (INRS), within the Energie Matériaux Telécommunications Centre. He is an expert in secure and adaptive human-machine systems and is currently working on projects to detect synthetic media (including deepfakes) and on the compression of large AI models for edge applications, privacy in the metaverse, biometrics robust to adversarial attacks, and trustworthy human-AI teaming. He directs the Multisensory Signal Analysis and Enhancement Lab, with locations at both UQO (Gatineau) and INRS-EMT (Montréal). 

Publications: https://scholar.google.ca/citations?user=_i58BPYAAAAJ&hl=en  

Tiago H. Falk (INRS) 

Raphaël Khoury (UQO)

Raphaël Khoury is a professor in the Computer Science and Engineering Department at Université du Québec en Outaouais (UQO). His research focuses on software security and best secure programming practices. He is the author of the book “Software Security: A Defensive Approach” and is the recipient of research grants from FQRNT and NSERC. 

Publications: https://scholar.google.ca/citations?user=bskziasAAAAJ&hl=en&oi=ao 

Raphaël Khoury (UQO

Projects

Risks of AI-fuelled Disinformation and Countermeasures for New Immigrants in Québec

Generative AI systems are widely used to synthesize misleading multimedia content, enabling convincing large-scale disinformation campaigns that can be easily customized to different languages and cultures. In this project, we focus on the challenges related to disinformation faced by new immigrants in Québec. Up against language barriers and unfamiliar sociocultural norms, immigrants may lack the tools to identify disinformation and find reliable sources of information. Funding: FRQSC

Automatic Speaker Verification Robustness Towards Deepfake Audios: Beyond Perceptual Naturalness

This project aims to enhance cybersecurity by developing robust automatic speaker verification (ASV) systems resistant to deepfake audio attacks. Leveraging expertise in ASV and speech quality assessment, the goal is to address the growing threat posed by synthetic voice mimicking, which can bypass voice biometric authentication systems. By detecting deepfake speech, the project seeks to mitigate fraud, minimizing costs that have reached billions of dollars globally and millions in Canada.

Linguistic and Artificial Intelligence Perspectives for Analyzing the Writing Styles of Fake News Associated with the Defamation of Politicians

This project focuses on the fight against disinformation in the political context in Québec and Brazil. Our objective is to analyze the texts of the main social media platforms in order to identify the underlying discourse associated with online fake news.

Deducing Private Information from User Behaviour in the Metaverse

This project aims to develop new access control and authentication methods based on data collected from sensors integrated into immersive reality helmets. By drawing on expertise in edge computing and blockchain technologies, the privacy of users will be preserved while making the metaverse safer for everyone. Funding: NCC-CNC

Explainable, Context-aware Multimodal Deepfake Detection to Combat Disinformation

In this project, we propose to include context-awareness to extract semantic content from text, videos, and audio modalities, helping make deepfake detection decisions more explainable, transparent, and actionable. Funding: NSERC

Automatic Speaker Recognition Robustness Towards Spontaneous Emotional Speech

This research focuses on developing a robust speaker recognition system to enhance identity verification through biometrics, addressing the growing issue of identity theft and fraud, which results in significant financial losses globally. The system aims to provide secure and reliable authentication, complementing traditional methods like passwords in everyday environments.

Human Factors and Their Impact on Biases in Human-AI Teaming

This project explores the use of physiological and behavioural signals to detect biases in human-AI teaming and human decision-making, to better understand how adversaries can exploit these biases. Different aspects of biases will be investigated, from the effects of fatigue and attention on over-trusting AI agents to the effects of stress on human errors and the detection of biases in AI due to biased datasets used to train the models. Funding: Veterans Affairs Canada and DRDC

Partners 

CIRICS, LRSI, LARIVIA, DRDC, Thales, Digital Trust Laboratory, InVirtuo, MYND Therapeutics, BMU Augmented Intelligence, COlab numérique, CyberQuébec, Ville de Gatineau, Beneva 


The Joint Research Unit in brief

Events

News

Monthly Cybersecurity Seminars : Every last Wednesday of the month


Networking activity: March 25, 2025, 1:00 p.m.

Registration by March 17 at the latest

Launch of the scientific program of the UQO mixed research unit on cybersecurity and digital trust. This event will allow you to discover how to develop projects in partnership with the mixed research unit, explore our expertise and identify new opportunities for collaboration that will benefit your organization.

The event will take place in person as well as online, with a webcast link to be communicated a few days in advance.

Tribunal-école (Room F1029)
Alexandre-Taché Pavilion
Université du Québec en Outaouais
283 Alexandre-Taché Blvd,
Gatineau, J8X 3X7


Program

  • 1:00 p.m. Welcome of participants
  • 1:15 p.m. Welcome remarks
  • Remarks by the Rector of UQO, Ms. Murielle Laberge
  • Remarks by the Director General of INRS, Mr. Luc-Alain Giraldeau
  • 1:45 p.m. Presentation of the scientific program
  • 2:45 p.m. Question period
  • 15:10 Closing remarks
  • 15:15 Networking cocktail and poster session
  • 16:30 End of the event

Student Research Day (winter 2025 edition): March 20, 2025 – more details to come


Student Research Day (summer 2024 edition) 

UMR members shine at leading international conferences, bringing home several Best Paper Awards: 

“Securing the Metaverse: The Intersection of Machine Learning-Based Oracles and Blockchain Technology was awarded Best Paper at #IEEE iMETA 2024! This work explores the fusion of AI-driven oracles and blockchain to enhance security and trust in the evolving metaverse landscape. 

“Securing O-RAN with Zero Trust Architecture and Large Language Models” received the Best Paper Award at the 4th International Conference on Advances in Communication Technology and Computer Engineering (ICACTCE’24)! This research addresses key security challenges in O-RAN, focusing on the integration of untrusted third-party applications (xApps) within the near-real-time RAN Intelligent Controller (RIC). By leveraging Zero Trust Architecture and Large Language Models, the approach reinforces security in next-generation networks. 

Adapting Self-Supervised Features for Background Speech Detection in Beehive Audio Recordings” received the Best Paper Presented by a Young Researcher Award at the 2023 IEEE MetroAgriFor conference. This research shows the advantages of compressing and adapting large AI models for more secure edge applications and in the case of this work, for multimodal beehive monitoring. 

Fairness in Socio-technical Systems: a Case Study of Wikipedia received the best paper award at the 2023 international conference on collaborative technologies (Collabtech 2023). It surveys issues related to fairness and bias in Wikipedia and demonstrates that phenomena conceptually similar to the algorithmic biases, which are caused by AI systems, can be caused by complex interactions of people and technology and affect socio-technical systems such as Wikipedia. 

 

 

The UMR is always looking for summer interns, graduate and postgraduate students, and postdoctoral researchers. If you are interested, please send your CV, transcripts, cover letter, and list of publications to umr-cybersec@uqo.ca

Logo de l'INRS