Lutte Informatique d’Influence (L2I) / Fake News Detection, Generation, Prevention

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.

Source: https://www.reddit.com/r/midjourney/comments/120vhdc/the_pope_drip/

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

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Publications

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2020

Navas, Renzo E; Sandaker, Håkon; Cuppens, Frédéric; Cuppens, Nora; Toutain, Laurent; Papadopoulos, Georgios Z

IANVS: A Moving Target Defense Framework for a Resilient Internet of Things Journal Article

In: Proceedings - IEEE Symposium on Computers and Communications, vol. 2020-July, 2020, ISSN: 15301346.

Abstract | Links | BibTeX | Tags: attack, ChaCha20, CoAP, design, framework, hping3, IoT, LoPy4, Moving Target Defense, MTD, port-hopping, reconnaissance, Security, stream-cipher

2018

Navas, Renzo E; Bouder, Hélène Le; Cuppens, Nora; Cuppens, Frédéric; Papadopoulos, Georgios Z

Demo: Do not trust your neighbors! a small iot platform illustrating a man-in-the-middle attack Journal Article

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11104 LNCS, pp. 120–125, 2018, ISSN: 16113349.

Abstract | Links | BibTeX | Tags: CoAP, E2E security, IoT, IPv6, MITM attack, RPL

Kome, Marco Lobe; Cuppens, Frederic; Cuppens-Boulahia, Nora; Frey, Vincent

CoAP Enhancement for a better IoT centric protocol: CoAP 2.0 Journal Article

In: 2018 5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018, pp. 139–146, 2018, ISBN: 9781538695852.

Abstract | Links | BibTeX | Tags: CoAP, Discovery, IoT, Publish/Subscribe, Security

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Alexander Loth
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    Marc-Oliver Pahl