Santa Clara, CA, United States of America

Xiaoyi Duan

This inventor holds 3 USPTO granted patents and 1 EPO patent. Top assignee: Palo Alto Networks, Inc.. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaoyi Duan. Retrieved from https://idiyas.com/inventor/xiaoyi-duan-6x416wx5

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2024-2025

Loading Chart...
Loading Chart...
3 patents (USPTO):Explore Patents

Title: Innovations by Xiaoyi Duan in IoT Device Identification

Introduction

Xiaoyi Duan is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of Internet of Things (IoT) device identification. With a total of 3 patents, his work focuses on enhancing the security and classification of IoT devices through advanced machine learning techniques.

Latest Patents

One of Xiaoyi Duan's latest patents is titled "IoT device identification by machine learning with time series behavioral and statistical features." This invention discloses a method for identifying IoT devices based on their packet flow behavior using machine learning models. The process involves receiving information associated with the network communication of an IoT device and determining whether it has been previously classified. If not, a probability match for the device against a behavior signature is assessed, which includes time series features for the application used by the device. Based on this probability match, a classification is provided to a security appliance to apply relevant policies.

Another notable patent is "Detecting behavioral change of IoT devices using novelty detection based behavior traffic modeling." This invention features an anomalous behavior detector designed to identify novel behavioral changes in devices based on network traffic data. The detector employs the local outlier factor (LOF) algorithm with novelty detection. After initial semi-supervised training with a dataset representing stable device behaviors, the model continues to learn from live network traffic data. The feature vectors used represent the stability or similarity of network traffic variables, which serve as device identifiers and behavioral indicators.

Career Highlights

Xiaoyi Duan is currently employed at Palo Alto Networks, Inc., where he applies his expertise in IoT security. His innovative work has positioned him as a key player in the development of advanced security solutions for IoT devices.

Collaborations

Xiaoyi collaborates with talented individuals such as Ke Tian and Yilin Zhao, contributing to a dynamic team focused on pushing the boundaries of IoT technology.

Conclusion

Xiaoyi Duan's contributions to IoT device identification through his innovative patents demonstrate his commitment to enhancing security in the rapidly evolving technology landscape. His work continues to influence the field and pave the way for future advancements.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…