Research

I currently work with Dr. Golden G. Richard III at the LSU Applied Cybersecurity Lab, where a lot of the research is focused around memory forensics.

My research interests lie in reverse engineering and binary analysis. Thus far, most of it has focused on malware analysis and on doing memory forensics with the Volatility Framework.

For my master’s thesis, I explored new forensic artifacts that are exclusive to Apple Silicon processors, some of which can only be recovered through memory analysis.

During my undergraduate degree, I managed a repository of over 40 million malware samples and built automation mechanisms to help process them into a database that could later be used for research.

Google Scholar

Publications

Papers

• R Mettig, C Glass, A Case, GG Richard III. “Assessing the threat of Rosetta 2 on Apple Silicon devices.” Forensic Science International: Digital Investigation, 2023.

Masters Thesis

• Santos Mettig Rocha, Raphaela. “Improving Memory Forensics Capabilities on Apple M1 Computers.” (2022).

Presentations and Talks

Conference:

• BSidesDFW - Rosetta 2: Keeping Mac Malware Alive for Years to Come

Academic:

• LSU Discover Day 2020 - Malware DB: Pre-processing Malicious Samples for Preliminary Analysis (Slides)
• LSU Discover Day 2019 - Automated Unpacking of Malware with Memory Forensics (Slides)

Workshops

• Intro to Git @ LSU Women in Computer Science (WICS)
• Intro to CLI @ LSU Women in Computer Science (WICS)