Critical Information Technology on FPGAs through Unique Device Specific Keys
2011
- 35Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage35
- Downloads31
- Abstract Views4
Thesis / Dissertation Description
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's 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's 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's 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.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know