Hengli Yue

Title: Hengli Yue: Innovator in Cyber-Physical Systems

Introduction

Hengli Yue is a prominent inventor based in Zhejiang, China. He has made significant contributions to the field of cyber-physical systems, particularly in the area of cybersecurity. His innovative approach utilizes deep learning techniques to enhance the detection of malicious attacks in transportation systems.

Latest Patents

Hengli Yue holds a patent titled "Method for detecting malicious attacks based on deep learning in traffic cyber physical system." This patent discloses a method for detecting malicious attacks by extracting original feature data from both malicious and normal data flows within a transportation cyber-physical system (TCPS). The process involves cleaning and coding the original feature data, selecting key features, and establishing a deep learning model. Ultimately, the model is used to identify whether incoming data is malicious, thereby effectively detecting potential threats. This invention showcases the application of deep learning to enhance the security of TCPS.

Career Highlights

Hengli Yue is affiliated with Hangzhou Dianzi University, where he contributes to research and development in the field of cyber-physical systems. His work focuses on integrating advanced technologies to improve system security and reliability.

Collaborations

Hengli Yue collaborates with Ting Wu, who is also involved in research related to cyber-physical systems. Their partnership aims to advance the understanding and implementation of security measures in transportation systems.

Conclusion

Hengli Yue's innovative contributions to the field of cybersecurity in transportation systems highlight the importance of deep learning in detecting malicious attacks. His work not only enhances system security but also paves the way for future advancements in cyber-physical systems.