George Webster
Dr. George Webster
Alumni
E-Mail: | George Webster |
Research Interests
My primary research focus aims to address the cognitive bias in cyber defense, specifically in developing scalable methods to perform cyber analytics. My academic and work background is centered in Virtual Machine Introspection, static analysis techniques, distributed systems, and the psychology of cyber criminals.
Teaching
- Winter Semester 2016/2017
- Practical Course: Anomaly Detection Challenges
- Summer Semester 2016
- Seminar: Large-Scale Malware Analysis
- Winter Semester 2015/2016
- Practical Course: Anomaly Detection Challenges
Supervised Work
Completed
- GSoC (Google Summer of Code): Holmes Framework to Automate Advanced Analytics
- GSoC (Google Summer of Code): Holmes Example Services
- GSoC (Google Summer of Code): Holmes Automated Malware Relationships (Rendering)
- GSoC (Google Summer of Code): Holmes Automated Malware Relationships (Processing)
- BA: Sauron - Advanced Monitoring of Distributed Components
- BA: Detecting and Rating Malware Relationships using Machine Learning
- BA: Large Scale Anomaly Detection Using Spark
- GSoC (Google Summer of Code): Foundations for DRAKVUF on ARM
- GSoC (Google Summer of Code): Centralized Service Configuration for Holmes
- GSoC (Google Summer of Code): Web Interface and Generic API Development for Holmes Processing
- TUMKolleg: Secure Communication Within Networks
- MA: Key Management for Distributed Storage Systems
- BA: Distributed Services for Large Scale Dynamic Malware Analysis
- MA: Revealing Previously Unknown Malicious Domains leveraging DNS and WHOIS Data