Feilong Chen

Title: Feilong Chen: Innovator in Machine Learning and Network Security

Introduction

Feilong Chen is a prominent inventor based in East Lansing, MI (US). He has made significant contributions to the field of network security through his innovative approaches to botnet detection using machine learning techniques. With a total of 2 patents, Chen's work is at the forefront of addressing critical challenges in cybersecurity.

Latest Patents

Chen's latest patents include groundbreaking methods for identifying botnets in network traffic. One of his notable inventions is titled "Machine learning based botnet detection using real-time connectivity graph based traffic features." This method involves analyzing historical network data to determine values of connectivity graph features, utilizing a machine learning algorithm to generate a model that can label data units in real-time. Another significant patent is "Machine learning based botnet detection with dynamic adaptation," which focuses on detecting bots in network traffic by applying a learned classification model to features extracted from current network data.

Career Highlights

Feilong Chen is currently employed at Narus, Inc., where he continues to develop innovative solutions for network security. His expertise in machine learning and network analysis has positioned him as a key player in the industry.

Collaborations

Chen collaborates with talented individuals such as Supranamaya Ranjan and Joshua Robinson, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Feilong Chen's contributions to machine learning and network security are invaluable. His patents reflect a commitment to advancing technology in the fight against cyber threats. Through his work at Narus, Inc., he continues to make strides in enhancing network security measures.