Critical Information Technology on FPGAs through Unique Device Specific Keys

Field Programmable Gate Arrays (FPGAs) are being used for military and other sensitive applications, the threat of an adversary attacking these devices is an ever present danger. While having the ability to be reconfigured is helpful for development, it also poses the risk of its hardware design being cloned. Static random access memory (SRAM) FPGA\u27s are the most common type of FPGA used in industry. Every time an SRAM-FPGA is powered up, its configuration must be downloaded. If an adversary is able to obtain that configuration, they can clone sensitive designs to other FPGAs. A technique that can be used to protect FPGAs from these types of attacks is known as Digital Fingerprinting (DF). DF takes advantage of the manufacturing variability that naturally occurs in the integrated circuit fabrication process. If another factor can be introduced making the FPGA\u27s operation dependent on more than the design specified within its configuration and response to external outputs, we can defend against cloning. This solution would allow for an FPGA\u27s operation to be dependent on how the downloaded configuration interacts with the hardware itself. This research uses DF technology to create unique device specific keys for use as encryption keys or control values for polymorphic circuits to protect information on FPGAs

Air Force Institute of Technology Research Report 2009

This report summarizes the research activities of the Air Force Institute of Technology’s Graduate School of Engineering and Management. It describes research interests and faculty expertise; lists student theses/dissertations; identifies research sponsors and contributions; and outlines the procedures for contacting the school. Included in the report are: faculty publications, conference presentations, consultations, and funded research projects. Research was conducted in the areas of Aeronautical and Astronautical Engineering, Electrical Engineering and Electro-Optics, Computer Engineering and Computer Science, Systems and Engineering Management, Operational Sciences, Mathematics, Statistics and Engineering Physics