Augmenting Effectiveness of Threat Modeling through Threat Intelligence Attributes
Abstract
We propose a threat intelligence-driven modeling framework anchored on four enabling technologies: (1) open source threat intelligence; (2) big data; (3) artificial intelligence (AI); and (4) knowledge/rule base. Conveniently called TIME (threat intelligence modeling environment), it has continuous cycles of: (1) collect asset data; (2) gather vulnerability data; (3) agglomerate threat data; (4) correlate vulnerabilities and threats with assets; (5) derive threat intelligence and interpret its effects on assets; and (6) share threat intelligence with the community.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 09, 2018
- Source ID
- N001741710010
Entities
People
- Bongsik Shin
Organizations
- Salk Institute for Biological Studies
- United States Navy