Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) (Final Report)

Technical Report · Wed Sep 01 04:00:00 EDT 2021

DOI:https://doi.org/10.2172/1821322· OSTI ID:1821322

Pinar, Ali ^[1]; Tarman, Thomas ^[1]; Swiler, Laura Painton ^[1]; Gearhart, Jared ^[1]; Hart, Derek ^[1]; Vugrin, Eric ^[1]; Cruz, Gerardo ^[1]; Arguello, Bryan ^[1]; Geraci, Gianluca ^[1]; Debusschere, Bert ^[1]; Hanson, Seth ^[1]; Outkin, Alexander ^[1]; Thorpe, Jamie ^[1]; Hart, William ^[1]; Sahakian, Meghan ^[1]; Gabert, Kasimir ^[1]; Glatter, Casey ^[1]; Johnson, Emma ^[1]; Punla-Green, She'ifa ^[1]

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1. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)

This report summarizes the activities performed as part of the Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) Grand Challenge LDRD project. We provide an overview of the research done in this project, including work on cyber emulation, uncertainty quantification, and optimization. We present examples of integrated analyses performed on two case studies: a network scanning/detection study and a malware command and control study. We highlight the importance of experimental workflows and list references of papers and presentations developed under this project. We outline lessons learned and suggestions for future work.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: NA0003525
• OSTI ID: 1821322
• Report Number(s): SAND--2021-11719; 699527
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING