Yuankai Ouyang

Title: Yuankai Ouyang: Innovator in Industrial Control Systems

Introduction

Yuankai Ouyang is a prominent inventor based in Chengdu, China. He has made significant contributions to the field of industrial control systems through his innovative research and development efforts. His work focuses on enhancing security measures within these systems, particularly through advanced detection methods.

Latest Patents

Yuankai Ouyang holds a patent for a "Few-shot learning based intrusion detection method of industrial control system." This patent describes a method that involves dividing an original data set extracted from the data flow of the industrial control system into a detection model training set and a basic model training set. The process includes using principal component analysis to reduce the dimension of a continuous data matrix and employing one-hot encoding for a discrete data matrix. The method constructs few-shot training tasks required for basic model training and utilizes convolutional neural networks to train a basic model. Ultimately, this approach enables effective real-time detection of attacks in data streams.

Career Highlights

Yuankai Ouyang is affiliated with Sichuan University, where he continues to advance his research in industrial control systems. His innovative approach to intrusion detection has positioned him as a key figure in the field. He has successfully developed methods that enhance the security and reliability of industrial systems.

Collaborations

Yuankai Ouyang collaborates with notable colleagues, including Beibei Li and Tao Li. Their combined expertise contributes to the advancement of research in industrial control systems and enhances the impact of their work.

Conclusion

Yuankai Ouyang's contributions to the field of industrial control systems through his innovative patent demonstrate his commitment to improving security measures. His work is essential for the ongoing development of reliable and secure industrial systems.