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Framework to Ensure and Assess Trustworthiness in Sensor Systems

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-08-M-1331
Agency Tracking Number: F073-077-0128
Amount: $99,977.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF073-077
Solicitation Number: 2007.3
Timeline
Solicitation Year: 2007
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-01-29
Award End Date (Contract End Date): 2008-10-31
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Curt Wu
 Chief Software Engineer
 (617) 491-3474
 cwu@cra.com
Business Contact
 Jennifer Barron
Title: Director, Contracts
Phone: (617) 491-3474
Email: jbarron@cra.com
Research Institution
N/A
Abstract

Current trends suggest that in future concepts of operations a host of ubiquitous sensors will transparently provide ISR and decision support “on demand” to the warfighter without the need for tasking or querying individual sensors. Before this can happen, however, it is essential to significantly improve the reliability and trustworthiness of existing and envisioned sensor networks. During operations, the sensor network must be robust to deception, node compromise, and various other attacks, while maintaining the operator’s situational awareness regarding the health and integrity of the system. To address these needs, we propose a Framework to Ensure and Assess Trustworthiness in Sensor systems (FEATS) to identify attacks on sensor system integrity and inform the operator of sensor data trustworthiness. The framework provides for three critical functions: 1) attack detection via anomaly detection algorithms, including statistical rules and fixed-width clustering, 2) probabilistic threat assessment incorporating the current operational context using Bayesian belief networks, and 3) trust management provided by a human-system interface that uses meta-information visualization to portray the trustworthiness of critical sensor data.

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

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