In an era where information spreads at the speed of light and trust is constantly under siege, the proliferation of fake news poses a profound threat to our society’s fabric. 

The societal impact of our research direction on fake news cannot be overstated. By combating the erosion of trust and amplifying the voice of truth in an increasingly volatile digital landscape, we bolster the resilience of our critical networked infrastructures and uphold the fundamental principles of democracy, informed consent, and social cohesion. 

Together, let us rise to the challenge of defending truth in the digital age, ensuring that our interconnected world remains a bastion of integrity, reliability, and trustworthiness for generations to come.

Our research direction on fake news encompasses three pivotal pillars: generation, detection, and prevention.

• Firstly, we delve into the intricacies of fake news generation, understanding the underlying mechanisms and technologies that enable its creation. By comprehensively analyzing the tactics employed by malicious actors, we aim to anticipate and counteract their efforts, thwarting the dissemination of misinformation before it takes root.
• Secondly, our focus extends to the development of robust detection methodologies. Leveraging cutting-edge techniques from machine learning, natural language processing, and network analysis, we strive to identify and categorize fake news with unprecedented accuracy and efficiency. By empowering digital platforms and users with the tools to discern truth from falsehood, we fortify our collective defenses against manipulation and deception.
• Lastly, we are dedicated to proactive prevention strategies aimed at inoculating our information ecosystem against the spread of fake news. Through interdisciplinary collaboration and engagement with stakeholders across academia, industry, and government, we seek to implement robust frameworks and protocols that promote transparency, accountability, and authenticity in online discourse.

News

[display-posts category=”L2I Fake News” image_size=”thumbnail” image_size=”medium” wrapper=”div” wrapper_class=”display-posts-listing grid”]

Publications

@workshop{Delcombel2021,

title = {CyberCopter: a 3D helical visualisation for periodic signals of cyber attacks},

author = {Nicolas Delcombel and Alexandre Kabil and Thierry Duval and Marc-Oliver Pahl},

year  = {2021},

date = {2021-08-06},

urldate = {2021-08-06},

abstract = {this paper aims to asses the usefulness of 3D interactive interfaces to display periodic signals in a network. Past research has shown that 2D data visualization simplifies alerts classification. Including those drawn by periodicity based Intrusion Detection Systems. However, 2D visualisations have limitations such as screen space availability. This is why we created CyberCopter, a prototype that uses a 3D helical representation 

to highlight periodic patterns in a dataset. We tested CyberCopter usability and efficiency in a fraud detection scenario. It scored 77 at the SUS questionnaire which demonstrates an acceptable usability},

howpublished = {VR4Sec: 1st International Workshop on Security for XR and XR for Security},

keywords = {Cybersecurity, Security, Virtual reality, Visual analytics, Visualization, Visualization application domains},

pubstate = {published},

tppubtype = {workshop}

}

@article{Kabil2019,

title = {Why should we use 3D Collaborative Virtual Environments for Cyber Security?},

author = {Alexandre Kabil and Thierry Duval and Nora Cuppens and Gerard Le Comte and Yoran Halgand and Christophe Ponchel},

doi = {10.1109/3DCVE.2018.8637109},

isbn = {9781538651322},

year  = {2019},

date = {2019-01-01},

journal = {2018 IEEE 4th VR International Workshop on 3D Collaborative Virtual Environments, 3DCVE 2018},

pages = {3--5},

abstract = {Cyber Security data analysis is an important growing domain: more and more data visualization systems are offered to operators in order to improve their threat detection performances or facilitate suspect behaviors characterization. As today Cyber Security trend is to regroup employees in structures such as Security Operations Center (SOC) or Computer Emergency Response Team (CERT), collaborative approach seems to be relevant in this context. We think that 3D Collaborative Virtual Environments (3DCVE) can be used in order to improve users Cyber Situational Awareness, as they can allow them to have a better understanding of a cyber situation by mediating interactions towards them and also by providing different points of view of the same data, on different scales.},

keywords = {Collaborative interaction, Human computer interaction (HCI), Human-centered computing, Interaction paradigms, Visual analytics, Visualization, Visualization application domains},

pubstate = {published},

tppubtype = {article}

}

Tools

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Alexander Loth

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Marc-Oliver Pahl

Professor for Cybersecurity at IMT Atlantique | Chairholder CyberCNI.fr | VP German Chapter of the ACM | Cybersecurity Expert | Speaker at IMT Atlantique

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Latest posts by Marc-Oliver Pahl (see all)

• Renforcement de la collaboration franco-allemande en cybersécurité : La réunion annuelle du German Chapter of the ACM 2025 - April 2, 2025
• Exciting Workshop Program Announced – Join Us in Hawaii! 🌺 - March 21, 2025
• 12th Heidelberg Laureate Forum 2025 - January 31, 2025

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