Entropy-Trust-Homology Operational Security (ETHOS)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-09-C-1651
Agency Tracking Number: O081-IA4-1253
Amount: $825,000.00
Phase: Phase II
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: OSD08-IA4
Solicitation Number: 2008.1
Small Business Information
Knowledge Based Systems, Inc.
1408 University Drive East, College Station, TX, 77840
DUNS: 555403328
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 RONALD FERNANDES
 Senior Research Scientist
 (979) 260-5271
 rfernandes@kbsi.com
Business Contact
 Jason Ogle
Title: Contracts Manager
Phone: (979) 260-5274
Email: jogle@kbsi.com
Research Institution
N/A
Abstract
Secure and semi-secure distributed sensor networks often rely on static security protocols and certificate authorities to attempt to assure trust between network participants. Trust is based on what others initially think of the participant and not on what the participant actually says or does. Trust should be based not only on initial impressions but also on subsequent participation in the network. KBSI proposes an Entropy-Trust-Homology Operational Security (ETHOS) method of securing trust based on the information that is exchanged between the different edges of the communication network. Trust entropy metrics will be developed based on the pattern of information entropy flow between edges and on usage behavior. The ETHOS method will provide the foundation for the design and configuration of an ETHOS experimental framework and automation toolkit. The ETHOS method includes the use of agent-based simulation, data mining, and graph data mining to develop out-of-band trust and reputation techniques for sensor network infrastructure for use in layered sensing applications.

* information listed above is at the time of submission.

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