Xuepeng Sun

Title: Xuepeng Sun: Inventor in Network Security and Malware Detection.

Introduction

Xuepeng Sun is an inventor based in Burlington, Massachusetts. His patent work focuses on applying artificial intelligence and data analysis to cybersecurity challenges, including detecting anomalous network activity and identifying malware on endpoint devices.

Latest Patents

Sun’s listed patent portfolio includes 2 patents, covering two systems that use data-driven methods to strengthen cybersecurity.

“System for Detecting Anomalous Network Patterns Based on Analyzing Network Traffic Data and Method Thereof” describes a system that aggregates network traffic into flow data and generates features through rolling-window analysis. Deep-learning models analyze those features to identify anomalous network patterns. The system also includes dynamic scoring and calibration components.

“Artificial Intelligence (AI)-Based System for Detecting Malware in Endpoint Devices Using a Multi-Source Data Fusion and Method Thereof” describes an approach that combines endpoint visibility data, publicly available information, and sandbox analysis data. AI models generate numerical embeddings for files or applications and use them to create dynamic directed graphs and calculate maliciousness risk scores, which support malware detection on endpoint devices.

Career Highlights

Sun is associated with Privafy Inc. His listed inventions address two complementary areas of cybersecurity: network-level anomaly detection and endpoint malware identification. Both use AI-based analysis to assess security risks from complex data.

Collaborations

Sun’s listed coworkers include Rangamani Sundar and Gurudutt Pai. Their shared association with Privafy Inc. places Sun’s work within a company focused on cybersecurity technologies.

Conclusion

Xuepeng Sun’s patent work combines network traffic analysis, multi-source data fusion, and artificial intelligence to develop methods for detecting suspicious network patterns and malware.