Entropy-Trust-Homology Operational Security (ETHOS)

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$750,000.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-09-C-1651
Award Id:
86157
Agency Tracking Number:
O081-IA4-1253
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1408 University Drive East, College Station, TX, 77840
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
Ronald Fernandes
Senior Research Scientist
(979) 260-5271
rfernandes@kbsi.com
Business Contact:
Jason Ogle
Contracts Manager
(979) 260-5274
jogle@kbsi.com
Research Institute:
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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