GRAF RESEARCH CORPORATION — Department of Defense SBIR Phase I: DMEA192-002
GRAF RESEARCH CORPORATION — SBIR Phase I award from Department of Defense.
- Amount
- $167,498
- Agency
- Department of Defense · Defense Microelectronics Activity
- Program / Phase
- SBIR · Phase I
- Topic
- DMEA192-002
- Solicitation
- 19.2
- NAICS
- —
- Place of performance
- VA
- Period
- 2019-11-25 → 2020-06-10
Description
The machine learning for counterfeit detection research program commences with a study evaluating the feasibility of applying machine learning to detect FPGA counterfeits. The underlying process will be broadly applicable throughout the supply chain. Using a proprietary non-destructive means of gathering data from FPGA devices, we will then make use of the data in a variety of machine learning algorithms to determine the most efficient and accurate methodology for genuine/counterfeit indication using the provided data. Lastly, an exploration into the supply chain and deployment strategies will develop a business case for full implementation of the recommended toolset. Ultimately, this research program will study the feasibility of developing a mechanism for counterfeit detection that is readily deployable and applicable at any stage of product life.