This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Yantai University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Yingying Sun: Innovator in Industrial Internet Data Security
Introduction
Yingying Sun is a prominent inventor based in Yantai, China. She has made significant contributions to the field of data security within the industrial Internet sector. Her innovative approach focuses on enhancing the detection of abnormal nodes, which is crucial for maintaining the integrity and security of industrial data systems.
Latest Patents
Yingying Sun holds a patent for a "Method and system for detecting abnormal nodes in industrial internet, and medium and device." This invention belongs to the technical field of data security for the industrial Internet. It provides a comprehensive method and system for identifying abnormal nodes by transforming local node data into graphic data. The process involves using a spectral clustering algorithm to cluster node data of the same category before local model training. The trained features are then uploaded to a trusted third-party server for global feature aggregation, ensuring a robust and secure data environment.
Career Highlights
Yingying Sun is affiliated with Yantai University, where she continues to advance her research and innovations in data security. Her work has garnered attention for its practical applications in the industrial Internet, making her a valuable asset in her field.
Collaborations
Yingying Sun collaborates with notable colleagues, including Zhaowei Liu and Zhifei Lu. These partnerships enhance her research capabilities and contribute to the development of innovative solutions in data security.
Conclusion
Yingying Sun's contributions to the industrial Internet through her patent and research at Yantai University highlight her role as a leading inventor in data security. Her innovative methods for detecting abnormal nodes are essential for the advancement of secure industrial data systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile