SBIR-STTR Award

Non Destructive Trusted FPGA Verification
Award last edited on: 7/11/2018

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$899,999
Award Phase
2
Solicitation Topic Code
AF171-068
Principal Investigator
Carl G Murphy

Company Information

Accord Solutions Inc

3533 Albatross Street
San Diego, CA 92103
   (619) 692-9476
   cmm@accordsol.com
   www.accordsol.com
Location: Single
Congr. District: 53
County: San Diego

Phase I

Contract Number: FA9453-17-P-0442
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
2017
Phase I Amount
$150,000
Demonstrating long term reliability of advanced millimeter-wave RF device technology is imperative to future military sensor, electronic warfare, advanced satellite and communication system deployment. Significant issues limit RF reliability assessment of

Phase II

Contract Number: FA9453-18-C-0267
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
2018
Phase II Amount
$749,999
Field Programmable Gate Arrays (FPGAs) can provide electronic system designs with a high degree of relatively inexpensive customization. Unfortunately, the fabrication facilities are located in untrusted facilities. This prevents their use in applications requiring a high degree of safety or security. Hidden functionality could potentially be inserted during manufacture. These Trojans can be used for many malicious purposes including: denial of service, data exfiltration, bypassing security, and reducing reliability of critical systems.GrammaTechs solution takes advantage of FPGA architecture and its re-programmability to produce robust tests which do not rely on sensitive supply current analysis. The approach includes new techniques which will address the limitation in current hardware Trojan detection methods.During Phase I, GrammaTech developed a prototype hybrid Trojan detection system and demonstrated detection algorithms that improve upon the ability to detect even the most subtle of Trojans. The Phase II, effort will augment the results of the Phase I with the testing of a larger population of devices and the testing of Trojan-infected devices. Additional data analysis techniques will be applied to further enhance the detection sensitivity. The result will be a Trojan detection system that can be adapted to verify trust in different FPGA devices.