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CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-19-P-1931
Agency Tracking Number: F18C-002-0004
Amount: $149,993.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF18C-T002
Solicitation Number: 18.C
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-07-18
Award End Date (Contract End Date): 2020-07-18
Small Business Information
709 South Harbor City Blvd., Suite 400
Melbourne, FL 32901
United States
DUNS: 130550262
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Stephen Hamby
 PI, Executive Vice President
 (321) 473-1425
 shamby@modusoperandi.com
Business Contact
 Peter Dyson
Phone: (321) 473-1444
Email: pdyson@modusoperandi.com
Research Institution
 Florida Institute for Human and Machine Cognition (IHMC)
 Diana Thacker Diana Thacker
 
40 S. Alcaniz St.
Pensacola, FL 32502
United States

 (850) 202-4473
 Domestic nonprofit research organization
Abstract

The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels is needed. The system should persist data at the correct security level based on the system from which collected and ensure that no access or dissemination occurs to an agent without proper clearance and need-to-know. An MLS CIM system with these capabilities is urgently needed to enable weapon system stakeholders at all levels (e.g., cyber analyst, operator, sustainment program office, senior leader) to collaboratively address cyber protection and mitigation based on cyber indicators occurring across the enterprise. The proposed solution provides an MLS CIM that uses big data object store for persisting raw cyber events, a permissioned private blockchain for data integrity, and a graph database for analyzing trends, patterns, discontinuities and relations in the cyber information. The solution provides an adaptive process manager and workbench to assist stakeholder in resolving cyber issues. The solution ensures confidentiality, integrity, and availability of the data.

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

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