Golden Richard

Golden G. Richard III is a cybersecurity researcher and teacher and a Fellow of the American Academy of Forensic Sciences. He has over 40 years of practical experience in computer systems and computer security and is a devoted advocate for applied cybersecurity education. He is currently Professor of Computer Science and Engineering and Associate Director for Cybersecurity at the Center for Computation and Technology (CCT) at LSU. He also supports NSA's CAE-CO internship program, teaching memory forensics, vulnerability analysis, and other topics to cleared interns. His primary research interests are memory forensics, digital forensics, malware analysis, reverse engineering, and operating systems. Dr. Richard earned his BS in Computer Science from the University of New Orleans and MS and PhD in Computer Science from The Ohio State University.

Presentations:

• 2024-08-09 13:00 - DEF CON 32 (2024) - Defeating EDR Evading Malware with Memory Forensics
• 2022-08-10 10:20 - Black Hat USA 2022 - New Memory Forensics Techniques to Defeat Device Monitoring Malware
• 2021-08-05 14:30 - Black Hat USA 2021 - Fixing a Memory Forensics Blind Spot: Linux Kernel Tracing

Copresenters:

• Andrew Case
  • 2024-08-09 13:00 - DEF CON 32 (2024) - Defeating EDR Evading Malware with Memory Forensics
  • 2022-08-10 10:20 - Black Hat USA 2022 - New Memory Forensics Techniques to Defeat Device Monitoring Malware
  • 2021-08-05 14:30 - Black Hat USA 2021 - Fixing a Memory Forensics Blind Spot: Linux Kernel Tracing
• Austin Sellers
  • 2024-08-09 13:00 - DEF CON 32 (2024) - Defeating EDR Evading Malware with Memory Forensics
  • 2022-08-10 10:20 - Black Hat USA 2022 - New Memory Forensics Techniques to Defeat Device Monitoring Malware
• Gustavo Moreira
  • 2024-08-09 13:00 - DEF CON 32 (2024) - Defeating EDR Evading Malware with Memory Forensics
  • 2022-08-10 10:20 - Black Hat USA 2022 - New Memory Forensics Techniques to Defeat Device Monitoring Malware
• David McDonald
  • 2024-08-09 13:00 - DEF CON 32 (2024) - Defeating EDR Evading Malware with Memory Forensics