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Twiner Ph II

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0085
Agency Tracking Number: N18A-019-0042
Amount: $1,006,919.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N18A-T019
Solicitation Number: 18.A
Timeline
Solicitation Year: 2018
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-10-02
Award End Date (Contract End Date): 2021-09-30
Small Business Information
3600 Green Court Suite 600
Ann Arbor, MI 48105
United States
DUNS: 009485124
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert Wray
 Technical Director
 (919) 533-9729
 wray@soartech.com
Business Contact
 Laura Schwennesen
Phone: (734) 887-7683
Email: laura.schwennesen@soartech.com
Research Institution
 Georgia Tech Research Institute
 Elizabeth Whitaker Elizabeth Whitaker
 
250 14th Street, NW
Atlanta, GA 30332
United States

 (404) 407-6656
 Nonprofit College or University
Abstract

Human interaction in cyberspace leaves indicators in the three layers that define cyberspace: persona, logical and physical. The proposed effort seeks to develop algorithms and software to integrate data and context across all three layers, “intertwining” data to create a more holistic and complete picture of cyber activity. Such an integrated perspective will allow cyber professionals to better understand complex activities in and through cyberspace. Twiner aggregates heterogeneous, multi-layer cyberspace data, correlates that data to detect causal relationships across layers, and displays both data and relationships to enable novel cyberspace training and operations.Phase demonstrated feasibility via a software proof-of-concept grounded in a rich and complex dataset. Twiner software was able to “connect the dots” to reveal who was involved when and how in a cyber-training scenario. Phase II will build on this capability to integrate additional data sources, further develop a map of cyberspace features and activities, and investigate additional methods to detect anomalies in large datasets. Phase II will also expand the use cases that Twiner covers, building on the Phase I use case and extending Twiner capabilities to support interpretation and visualization of penetration-team activities during the training exercises.

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

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