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George Webster

Dr. George Webster

Alumni

E-Mail:

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

Supervised Work

Completed

Publications

2017   Finding the Needle: A Study of the PE32 Rich Header and Respective Malware Triage

14th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA)

  Empowering Convolutional Networks for Malware Classification and Analysis

30th International Joint Conference on Neural Networks (IJCNN)

  Size Matters: Open-Source Framework for Large Scale Analysis

Microsoft DCC

  From Mole Hills to Mountains: Revealing Rich Header and Malware Triage

RSA USA

2016   Deep Learning for Classification of Malware System Call Sequences

29th Australasian Joint Conference on Artificial Intelligence (AI)

  A Study of the Rich Header and Respective Malware Triage

Hacktivity

  SKALD: A Scalable Architecture for Feature Extraction, Multi-User Analysis, and Real-Time Information Sharing

19th International Conference on Information Security (ISC)

  Adaptive Semantics-Aware Malware Classification

13th Conference on Detection of Intrusions and Malware \& Vulnerability Assessment (DIMVA)

2015   Internet-Scale File Analysis

Black Hat - USA

2014   Pitfalls of virtual machine introspection on modern hardware

1st Workshop on Malware Memory Forensics (MMF)

  Scalability, Fidelity and Stealth in the DRAKVUF Dynamic Malware Analysis System

Proceedings of the 30th Annual Computer Security Applications Conference