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    <title>Cy-Tech | Page personnelle de Manuel Munier</title>
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      <title>Projet Twin-VIC - présentation à CY Initiative 2026</title>
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      <description>&lt;p&gt;Aujourd&amp;rsquo;hui, Besma Zeddini et moi-même avons eu le plaisir de présenter notre projet de recherche Twin-VIC &lt;em&gt;&amp;ldquo;Trustworthy AI-Enhanced Digital Twins: Cybersecurity, Information Validity and Consistency&amp;rdquo;&lt;/em&gt; (collaboration CY-Tech / UPPA) à la 
 qui se déroulait à CY Cergy Paris Université.&lt;/p&gt;
&lt;p&gt;Voici les 
:&lt;/p&gt;
&lt;p&gt;




&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id=&#34;scientific-objectives-of-the-research-project&#34;&gt;Scientific Objectives of the Research Project&lt;/h3&gt;
&lt;p&gt;Digital Twins (DTs) are increasingly positioned at the core of modern cyber-physical systems. By continuously integrating data from sensors, simulation models, and AI-based decision modules, they enable advanced monitoring, predictive analysis, and operational control in complex environments. As their level of autonomy and decision-making responsibility grows, Digital Twins become critically dependent on the quality, validity, and consistency of the information they process (see figure 1). The primary scientific objective of this project is to establish information trustworthiness as a first-class security property in AI-enhanced Digital Twins. Rather than addressing security exclusively through the protection of infrastructures or communication channels, the project adopts an information-centric cybersecurity perspective, focusing on how information validity, consistency, temporal coherence, and semantic alignment can be compromised and preserved throughout the Digital Twin lifecycle.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;
&lt;p&gt;More specifically, the project aims to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Identify and characterize threats targeting information validity and consistency in Digital Twins, including data poisoning, false-data injection, sensor tampering, replay attacks, and model corruption.&lt;/li&gt;
&lt;li&gt;Design and investigate mechanisms capable of detecting and mitigating information manipulation, including subtle attacks that preserve syntactic correctness while degrading semantic meaning.&lt;/li&gt;
&lt;li&gt;Study how physical–digital synchronization can be preserved under faulty, delayed, or adversarial data conditions.&lt;/li&gt;
&lt;li&gt;Propose architectural principles and methodological guidelines supporting the design of trustworthy and resilient Digital Twin systems.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These objectives address fundamental scientific questions at the intersection of cybersecurity, artificial intelligence, and cyber-physical systems, while responding to concrete challenges faced by emerging Digital Twin applications.&lt;/p&gt;
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