Kuo-Yang Hung

Title: Kuo-Yang Hung: Innovator in Risk Evaluation Technologies

Introduction

Kuo-Yang Hung is a prominent inventor based in Taoyuan, Taiwan. He has made significant contributions to the field of risk evaluation through his innovative methods and devices. With a total of 2 patents, his work focuses on enhancing the efficiency and effectiveness of data evaluation processes.

Latest Patents

Kuo-Yang Hung's latest patents include a method and device for risk evaluation. This invention provides a comprehensive approach to evaluating an anonymous dataset generated from an original dataset. The risk evaluation method involves several steps, including acquiring data corresponding to original values, generating a partition set and weight table, and dividing the original dataset into multiple data partitions. The method culminates in calculating and outputting a risk evaluation result based on matching quantities derived from sample data and anonymous data.

Another notable patent is the generation method and device for creating an anonymous dataset. This method involves acquiring a critical attribute set and a quasi-identifier set, setting an anchor attribute, and generating a data cluster and cluster table. The process enhances the risk evaluation efficiency of the anonymous dataset by calculating data weight to extract distinctive data and address potential vulnerabilities.

Career Highlights

Kuo-Yang Hung is affiliated with the Industrial Technology Research Institute, where he continues to develop innovative solutions in data evaluation and risk assessment. His work has positioned him as a key figure in the advancement of technologies that address data privacy and security concerns.

Collaborations

Kuo-Yang collaborates with esteemed colleagues, including Ya-Ling Chen and Ding-Jun Yin. Their combined expertise contributes to the development of cutting-edge technologies in the field of risk evaluation.

Conclusion

Kuo-Yang Hung's contributions to risk evaluation technologies demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of data privacy and the importance of effective risk assessment methods. Through his work, he continues to influence the landscape of data evaluation and security.