Thijs Veugen

Title: Innovations by Thijs Veugen in Privacy-Preserving Computation

Introduction

Thijs Veugen is an innovative inventor based in The Hague, Netherlands. He has made significant contributions to the field of data analytics, particularly in privacy-preserving computation. With a total of 2 patents, his work focuses on enhancing security and privacy in data processing.

Latest Patents

Thijs Veugen's latest patents include a "Privacy Preserving Computation Protocol for Data Analytics." This method allows for the privacy-preserving computation of aggregated private data from a group of client devices. The process involves a server selecting at least t devices and utilizing key information, including an encryption key and a decryption key from a homomorphic threshold cryptosystem. The server aggregates randomized encrypted data from selected devices while ensuring that the decryption key can be reconstructed from the decryption shares provided by the devices.

Another notable patent is "Providing Security Against User Collusion in Data Analytics Using Random Group Selection." This patent describes methods for the secure random selection of t client devices from a set of N client devices. The method includes generating a random binary vector in an obfuscated domain, which enhances the security of the data analytics process.

Career Highlights

Thijs Veugen is currently associated with Flytxt B.V., where he applies his expertise in data analytics and privacy-preserving technologies. His work at Flytxt B.V. reflects his commitment to advancing secure data processing methods.

Collaborations

Due to space constraints, the collaborations section has been omitted.

Conclusion

Thijs Veugen's contributions to privacy-preserving computation are noteworthy and demonstrate his innovative approach to data security. His patents reflect a deep understanding of the challenges in data analytics and offer solutions that enhance privacy and security.