Modeling of Cyber Behaviors to Wargame and Assess Risk (MOC-WAR)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-14-P-1071
Agency Tracking Number: N132-132-0141
Amount: $79,767.00
Phase: Phase I
Program: SBIR
Awards Year: 2014
Solicitation Year: 2013
Solicitation Topic Code: N132-132
Solicitation Number: 2013.2
Small Business Information
625 Mount Auburn Street, Cambridge, MA, 02138-
DUNS: 115243701
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Peter Weyhrauch
 Principal Scientist
 (617) 491-3474
 pweyhrauch@cra.com
Business Contact
 Mark Felix
Title: Contracts Manager
Phone: (617) 491-3474
Email: mfelix@cra.com
Research Institution
N/A
Abstract
Adversaries are becoming ever more proficient at cyber attacks against our military"s infrastructure, making offensive and defensive cyber operations an essential component of today"s military activities. While the Navy has focused significant resources on cyber defense, these operations are largely reactive in nature, addressing events after the initial attack. Augmenting our cyber defense with proactive tools to analyze the goals and decision-making processes of adversaries will enable cyber defenders to shape the battlespace, limiting, and even driving, adversary options and reducing the threat on our infrastructure. To do this, cyber defenders need to understand the motivations, goals, behaviors, and limitations of those adversaries, and how those factors interact with policies, users, and defenses. To address these needs, we propose a Phase I effort to design and demonstrate a system for Modeling Cyber Behaviors to Wargame and Assess Risk (MOC-WAR). MOC-WAR provides a hybrid, modular behavior modeling framework to construct flexible adversary, defender, user, and policy maker models that can be rapidly updated as adversary strategies evolve. Using these models, MOC-WAR provides simulation engines and analysis tools that allow analysts and defenders to wargame behavioral interactions with adversaries, and proactively select policies and defenses that minimize adversary threats.

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

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