Helped write this paper and performed some analyses.
Publication: Identifying Behavior Dispatchers for Malware Analysis (AsiaCCS 2021)
DeepReflect - 2021
Trained a deep learning model to detect malicious functions within malware binaries using instruction- and CFG-based features. It is particularly useful when symbols and strings are missing, forcing the analyst to otherwise execute the malware in a dynamic sandbox.
Publication: DeepReflect: Discovering Malicious Functionality through Binary Reconstruction (USENIX 2021)
Techniques: Python, BinaryNinja, Scikit-learn, Keras
D3 (TII drone research) - 2021-2022
Assisted a post-doc and PhD student in designing a drone intrusion detection methodology based on external environmental data (e.g., sound of the propellers spinning).
Soldered and installed a Pi-connect, Raspberry pi, and microphone array onto the drone to collect telemetry data.
Assisted in the design and development of MLSploit, a flexible framework enabling machine learning model training and generating attacks to evade those models.
Utilized Python, Scikit-learn, and Keras to create various malware detection models and employed binary rewriting for executable malware that dynamically evades detection.
Collaborated with a research group to develop and test a novel method for detecting malicious intrusions into computers, involving Linux kernel modification and rootkit development.
Publication: Beholder: Phase-Space Detection of Cyber Events (2013)
Techniques: C
Oak Ridge National Laboratory - 05/2012-08/2012
Developed a JavaScript-based API for flexible scatterplot creation, to be utilized in a Human-Computer Interaction (HCI) study for Centers for Medicare & Medicaid Services (CMS).
Designed and developed visual interfaces for projects analyzing computer network traffic for malicious and anomalous patterns.
Publications:
situ: Situational Understanding and Discovery for Cyber Attacks (2012)
NV: Nessus Vulnerability Visualization for the Web (VizSec 2012)
Techniques: JavaScript, CSS, HTML
Oak Ridge National Laboratory - 05/2011-07/2011
Collaborated with the U.S. Marines and Centers for Medicare & Medicaid Services (CMS) to develop maintenance durability and cost/progress visualizations using Protovis, a JavaScript visualization library.