Chenyun Yu

Title: Innovations of Chenyun Yu in Privacy-Assured Similarity Joins

Introduction

Chenyun Yu is an accomplished inventor based in Shenzhen, China. He has made significant contributions to the field of data security, particularly in the area of privacy-assured similarity joins over encrypted datasets. His innovative work addresses the growing need for secure data queries in an increasingly digital world.

Latest Patents

Chenyun Yu holds a patent for "Systems and methods for privacy-assured similarity joins over encrypted datasets." This patent describes systems and methods that provide secure queries concerning encrypted datasets. The embodiments of this invention enable privacy-assured similarity join techniques that are operable with large-scale encrypted datasets. The technology allows a storage system to answer similarity join queries without revealing the content of either the query dataset or the target dataset. Various secure query schemes, such as individual similarity query schemes, frequency hiding query schemes, and result sharing query schemes, may be implemented to enhance security, efficiency, and deployability across different applications and scenarios.

Career Highlights

Chenyun Yu is affiliated with the City University of Hong Kong, where he continues to advance his research in data security and encryption technologies. His work has garnered attention for its practical applications in protecting sensitive information while allowing for meaningful data analysis.

Collaborations

Chenyun Yu has collaborated with notable colleagues, including Cong Wang and Sarana Nutanong. Their combined expertise contributes to the development of innovative solutions in the realm of data privacy and security.

Conclusion

Chenyun Yu's contributions to the field of privacy-assured similarity joins represent a significant advancement in secure data handling. His innovative patent and ongoing research efforts continue to shape the future of data security.