Austin, TX, United States of America

Yi-Chao Chen

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2017-2018

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Yi-Chao Chen: Innovator in Network Traffic Profiling

Introduction

Yi-Chao Chen is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of network traffic profiling, holding 2 patents that showcase his innovative approaches to analyzing network data.

Latest Patents

Yi-Chao Chen's latest patents include a method, system, and non-transitory computer-readable medium for profiling network traffic of a network. This method involves capturing packets based on a common source IP address shared by each packet. Each packet is assigned a source timestamp by its origin and a capture timestamp by a packet capturing device. The method identifies portions of packets as distinct flows, extracts monotonic timestamp-pair (MTSP) sequences from these flows, and compares them to determine if they originate from a single host within the network. Another patent focuses on identifying IP traffic from multiple hosts behind a network address translation device, utilizing similar techniques to analyze network traffic effectively.

Career Highlights

Yi-Chao Chen is currently employed at Narus, Inc., where he continues to develop innovative solutions in network traffic analysis. His work has been instrumental in enhancing the understanding of network behaviors and improving data management strategies.

Collaborations

Some of his notable coworkers include Mario Baldi and Yong Liao, who contribute to the collaborative environment at Narus, Inc. Their combined expertise fosters innovation and drives advancements in network technology.

Conclusion

Yi-Chao Chen's contributions to network traffic profiling through his patents reflect his commitment to innovation in technology. His work at Narus, Inc. continues to influence the field, paving the way for future advancements in network analysis.

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