2 citations · 2 across the 1 of their papers we have counts for
3 papers
Self-Updating Models with Error Remediation
Justin E. Doak, Michael R. Smith, Joey B. Ingram
Many environments currently employ machine learning models for data processing and analytics that were built using a limited number of training data points. Once deployed, the mode…
Tracking Cyber Adversaries with Adaptive Indicators of Compromise
Justin E. Doak, Joe B. Ingram, Sam A. Mulder +6
A forensics investigation after a breach often uncovers network and host indicators of compromise (IOCs) that can be deployed to sensors to allow early detection of the adversary i…
Dynamic Analysis of Executables to Detect and Characterize Malware
Michael R. Smith, Joe B. Ingram, Christopher C. Lamb +4
It is needed to ensure the integrity of systems that process sensitive information and control many aspects of everyday life. We examine the use of machine learning algorithms to d…