Date of Award

Spring 3-2019

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Computer Science

First Advisor

Dr. Wayne Pauli

Second Advisor

Dr. Josh Stroschein

Third Advisor

Dr. Jun Liu

Abstract

Malware authors attempt to obfuscate and hide their execution objectives in their program’s static and dynamic states. This paper provides a novel approach to aid analysis by introducing a malware analysis tool which is quick to set up and use with respect to other existing tools. The tool allows for the intercepting and capturing of malware artifacts while providing dynamic control of process flow. Capturing malware artifacts allows an analyst to more quickly and comprehensively understand malware behavior and obfuscation techniques and doing so interactively allows multiple code paths to be explored. The faster that malware can be analyzed the quicker the systems and data compromised by it can be determined and its infection stopped. This research proposes an instantiation of an interactive malware analysis and artifact capture tool.

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