Ziqian Liu

Title: Ziqian Liu - Innovator in Network Representation Learning

Introduction

Ziqian Liu is an inventor based in Suzhou, China. He is known for his work in the field of network representation learning, particularly in the context of inter-domain routing anomaly detection. His innovative approach aims to enhance the reliability and security of internet routing systems.

Latest Patent Applications

Ziqian Liu has submitted a patent application titled "Inter-Domain Routing Anomaly Detection Method Based on Network Representation Learning." This application outlines a method that includes performing network representation learning of Internet autonomous system relationships under offline conditions. It also involves monitoring routing changes in real-time across multiple inter-domain routing vantage points. The method updates global routing in response to border gateway protocol update messages and records any detected routing changes. When a routing change is identified, it calculates a path difference value before and after the change. If this value exceeds a predetermined threshold, the routing change is classified as abnormal. The method further includes attributing the abnormal routing change, aggregating it into an abnormal event, and issuing an alarm.

Conclusion

Ziqian Liu's contributions to network representation learning and routing anomaly detection highlight his innovative spirit and dedication to improving internet infrastructure. His work has the potential to significantly enhance the security and efficiency of global internet routing systems.