Lun-Pin Yuan Email & Phone Number

Mountain View, CA, US

China, China, CN

+ Tech Lead of "Threat + Extended Detection and Response" (Threat XDR). Leading security research and product development in (1) Anomaly Detection, (2) Threat Hunting, and (3) Risk-Based Alerting.+ Project Lead of "AGI for SOC". Leading XFN collaboration in building and fine-tuning AGI-integration for SIEM, SOAR, HIDS, EDR, XDR, etc.

University Park, PA, US

Cyber Security Lab+ My dissertation focuses on unsupervised anomaly detection using deep learning. + My past research includes (1) pre-zero-day Android malware analytics, (2) cyber-attack mitigation through service migration in IaaS, and (3) app-specific communication surveillance. + Teaching assistant in the course “Introduction to Computer Security”.

China, China, CN

We worked on a transparent-and-autonomous security service for microservices hosted by Kubernetes. We developed a new analytic methodology to monitor pods (in terms of syscalls and traffics) and reduce attack surface (through seccomp and envoy-iptables). Access control rules are learned by profiling services, images, and pods.

Doha, QA

We worked on an anomaly-detection approach for cyber threats using deep learning techniques. Our goal is to find potential compromises across an enterprise based on audit logs from selective Windows servers, with the constraint of not having information about endpoint devices.Publication: Time-Window Based Group-Behavior Supported Method for Accurate.

Armonk, New York, NY, US

+ We worked on a security project which integrates IBM XGS (next-gen security protection) into OpenStack (IaaS) using OpenDaylight (SDN). + We designed and evaluated a network introspection method that checks network traffic within and between tenants. + We filed two U.S. patent applications that resolve the technical issues we encountered.U.S. Patent:1..

Doctor Of Philosophy (Ph.D.), Computer Science And Engineering

Master Of Science (Ms), Computer Science

Bachelor Of Science (Bs), Computer Science