Thanh-Hai Nguyen
ABSTRACT
Reducing their operating costs and optimizing manufacturing processes are main challenges for manufacturers that need no-doubt help from machine suppliers-OEMs. However, like 64% of Business entities, they do not intend to collaborate as long as their confidential data can be seen by anyone. Until now, some solutions on market using technologies like Confidential Computing, Differential Privacy, Multi Party Computation cannot completely fit to industrial requirements, data are sometimes partially encrypted or using trust execution environment (a bunker) to analyse in clear format. For this reason, until now, no secure computation and no solution for privacy-preserving data analysis are yet completely satisfactory (in terms of privacy and security constraints) and moreover they are often tested for different applications and on different datasets. Fully Homomorphic Encryption (FHE) technology is going to change the game. FHE allows service providers to work directly on encrypted data without ever decrypting it, which offers a privacy data protection for both customers and OEMs. In the collaboration with Siemens France, we provide FHE-based manufacturing data exchange space which is a part of RaiseSens© Data eXchange Platform (RS-DXP). In this respect, API-driven RS-DXP architecture allows the practical and easy integration of FHE techniques combined with optimisation engine, and non-moving data techniques applied in lightweight yet real-world manufacturing applications and deploying them in Cloud computing environment to offer a solution at low software engineering cost. This will pave the way for a wide deployment, boosting data-enabled manufacturing services.
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Index Terms
- Towards Privacy-first Manufacturing Data Exchange Platform
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