Comprehensive, Advanced Vulnerability of Infrastructure Assessment Tool (CAVIAT)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-06-C-0030
Agency Tracking Number: 05SB2-0196
Amount: $99,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SB052-013
Solicitation Number: 2005.2
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-10-31
Award End Date (Contract End Date): 2006-06-30
Small Business Information
4515 Seton Center Parkway, Suite 320, Austin, TX, 78759
DUNS: 158034665
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Arthur Keen
 Technical Team Lead
 (512) 342-0010
Business Contact
 Darrin Taylor
Title: Vice President
Phone: (512) 342-0010
Research Institution
21st Century Technologies, Inc. (21CT), leveraging our expertise and experience in graph-based pattern matching, threat/vulnerability assessment and our team of experts propose CAVIAT, a Comprehensive and Advanced Vulnerability of Infrastructure Assessment Tool. CAVIAT is an intelligent agent based architecture that will produce a truly innovative, next generation DoD technology to improve the ability to rapidly capture, assess, reason, and generate alerts about threats and vulnerabilities for highly inter-related military infrastructures. CAVIAT is based on integrating agent-based reasoning with 21CT's proven expertise in graph pattern matching-a unique innovation of distributed, hierarchical, exact and inexact graph pattern matching. In this representation, a graph represents threat and vulnerability knowledge of military installations and a graph pattern represents hypotheses of threats and vulnerabilities associated with a certain type of military infrastructure. A matched pattern represents an actual threat or vulnerability associated with a set of military infrastructures. Agent-based reasoning technologies assess and reason about the threat or vulnerability by analyzing context of the matched pattern in the context of the graph. Knowledge capture will be performed using Protégé, an ontology capture editor, developed by Stanford University. Additional infrastructure relationships and ontological information will be modeled using graph-based representations. ________________________________________________________________

* Information listed above is at the time of submission. *

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