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Agile Production Management System Data Integrity and Reliability
This Use Case takes advantage of STAR’s security and data governance technologies in order to ensure the integrity, confidentiality, availability, non-repudiation and authenticity of industrial data used by AI systems and processes. Techniques for decentralized validation of industrial data are employed, notably techniques that audit/validate datasets derived from sensors and unreliable data sources.
The UC leverages also the project’s cyber-defence techniques against Deep Neural Networks, with emphasis on confronting attempts for contaminating machine learning and deep learning algorithms.
DomainManufacturingSecure AI
TrendArtificial Intelligence
Validation TypeUse Case