Qingyun Du

Title: Innovations of Qingyun Du in Intrusion Detection Systems

Introduction

Qingyun Du is a prominent inventor based in Chengdu, China. He has made significant contributions to the field of industrial control systems, particularly in the area of intrusion detection. His innovative approach utilizes advanced machine learning techniques to enhance security measures in industrial environments.

Latest Patents

Qingyun Du holds a patent for a "Few-shot learning based intrusion detection method of industrial control system." This method 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. It employs principal component analysis to reduce the dimension of a continuous data matrix and uses one-hot encoding for processing a discrete data matrix. The method constructs few-shot training tasks required for basic model training and trains a basic model based on convolutional neural networks. Ultimately, it enables effective real-time detection of attacks in data streams.

Career Highlights

Qingyun Du is affiliated with Sichuan University, where he continues to advance research in the field of industrial control systems. His work has garnered attention for its practical applications in enhancing security protocols.

Collaborations

Qingyun collaborates with notable colleagues, including Beibei Li and Tao Li, who contribute to his research endeavors.

Conclusion

Qingyun Du's innovative work in intrusion detection systems exemplifies the intersection of technology and security. His contributions are vital for the advancement of industrial control systems, ensuring safer operational environments.