Amanda Carter

Title: Innovations by Amanda Carter in Network Traffic Identification

Introduction

Amanda Carter is an accomplished inventor based in Dyrham, GB. She has made significant contributions to the field of network traffic identification through her innovative use of machine learning. Her work focuses on enhancing the efficiency and accuracy of cloud services by classifying traffic effectively.

Latest Patents

Amanda holds a patent for "Network traffic identification using machine learning." This patent involves systems and methods that include obtaining historical data of traffic for various locations for a cloud service. The process entails labeling the historical data as either human or server-based, utilizing a range of features. Furthermore, the labeled historical data is used to train a machine learning model to classify traffic accurately. The steps also include using the trained model to classify unauthenticated traffic from specific locations or IP addresses.

Career Highlights

Amanda is currently employed at Zscaler, Inc., where she continues to develop her expertise in network security and machine learning applications. Her innovative approach has positioned her as a key player in her field, contributing to advancements in cloud service security.

Collaborations

Amanda has collaborated with notable colleagues, including Alexander Frazier and Dianhuan Lin. These partnerships have fostered a creative environment that encourages the exchange of ideas and enhances the development of innovative solutions.

Conclusion

Amanda Carter's contributions to network traffic identification through her patent demonstrate her commitment to advancing technology in cloud services. Her work not only showcases her inventive spirit but also highlights the importance of collaboration in driving innovation forward.