Xiao Lin's Blog Posts

Xiao Lin, Ph.D., a machine learning engineer at Splunk, has dedicated over a decade to the software industry, focusing on the development of numerical simulation and machine learning/artificial intelligence tools.

His work is highlighted by the publication of approximately 20 papers in various journals and conferences, along with the filing of around 10 patents. The tools to which he has made significant contributions have gained wide adoption among enterprise and cloud users for purposes such as semiconductor design validation, business intelligence, and security applications.

Reduce False Alerts – Automatically!
Security
5 Minute Read

Reduce False Alerts – Automatically!

Splunker Xiao Lin explains the 'False Positive Suppression Model,' now in the UBA tool.
Accelerate Rare Event Model Computation by Customizing Cardinality Constraints
Security
5 Minute Read

Accelerate Rare Event Model Computation by Customizing Cardinality Constraints

Splunker Xiao Lin explores how 'cardinalitySizeLimit' works, its impact on UBA performance, and how to leverage this feature to enhance threat detection.
Enhance Security Resilience Through Splunk User Behavior Analytics VPN Models
Security
5 Minute Read

Enhance Security Resilience Through Splunk User Behavior Analytics VPN Models

This blog introduces new machine learning models in Splunk UBA for VPN connection monitoring to enhance WFH security resilience.