SBIR-STTR Award

Secure Data Rich Active Transponder Development
Award last edited on: 11/6/2007

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$848,811
Award Phase
2
Solicitation Topic Code
A05-118
Principal Investigator
Robert Warner

Company Information

Eigent Technologies LLC

1000 Route 34 Suite 204
Matawan, NJ 07747
   (732) 834-9788
   info@eigent.com
   www.eigent.com
Location: Single
Congr. District: 06
County: Monmouth

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2006
Phase I Amount
$118,811
RFID tags and a wireless infrastructure for tag communication has become a key technology for providing In-Transit Visibility of the DOD logistics pipeline, and is critical technology for providing effective logistical support to DOD forces in operational theaters. This technology consists of battery powered data rich (128k) RFID tags operating at unlicensed short range (300-600 feet) commercial frequencies and a supporting infrastructure of interrogating antennas and handheld readers at hundreds of logistic nodes worldwide. The Assistant Secretary of Defense, Networks and Information Integration (ASD NII) has stated an intent to require encryption between RFID tags and reader/interrogators and possible requirements for data stored on the RFID tags to be encrypted. This Small Business Innovation Research (SBIR) Phase I research project will address key technical challenges of securing the data in active tags, including physical security of the tag itself which could be compromised if acquired by adversaries. In Phase I, proof-of-concept of the secure data rich tag will be demonstrated using standard COTS (Commercial Off The Shelf) components to exhibit the security potential of the concept

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2006
Phase II Amount
$730,000
Radio Frequency Identification (RFID) tags and the wireless infrastructure for tag communication has become key technology for providing In-Transit Visibility (ITV) of the Department of Defense (DoD) logistics pipeline and is critical technology for providing effective logistical support to DoD forces in operational theaters. This technology consists of battery powered data rich (128k) RFID tags operating at unlicensed short-range commercial frequencies and a supporting infrastructure of interrogating antennas and handheld readers at hundreds of logistic nodes worldwide. The Assistant Secretary of Defense, Networks and Information Integration (ASD NII) has stated the intent to require encryption between RFID tags and reader/interrogators. In addition, requirements may be imposed for ìdata at restî (data stored on the RFID tags) to be encrypted. In the Small Business Innovation Research (SBIR) Phase I Contract W9QUZ-6-002, Eigent conducted a technology feasibility study and considered alternative strategies for the actual encryption and decryption of data as stored on RFID tags, transmitted at all write stations and at all reading transportation nodes. This research demonstrated that a combination of hardware and software techniques in a ìdefense in depthî architecture can be implemented to secure data both when stored on the RFID tags and when transmitted between the tags and readers. The Eigent Phase II proposal builds on this successful Phase I research. The Phase II goal is to demonstrate the Phase I functionality of this architecture in prototype RFID transponder(s) and reader infrastructure equipment as well as in possible add-on modules to existing industry reader infrastructure equipment, chosen and supplied by the US Army. Both stand alone prototypes and possible add-on modules will be tested in the laboratory, at Eigent facilities and in requested local DoD facilities. Field tests in DoD facilities will assist Eigent in building more easily implemented and integrated Phase III product for the DoD through PM J-AIT.

Keywords:
Data Rich Active Radio Frequency Identification (Rfid), Light Weight Security, Authentication, Encryption, Hashing, Defense In Depth, Sensor Network,