Abstract
High quality random numbers form a critical foundation for computing in applications such as data encryption, simulation, and modeling. Recognizing the import of random numbers we have integrated hardware-based random bit generation into a major file system project for the Operating Systems class. Originally built around background radiation events detected by a Geiger counter, we are in the process of extending this to additional hardware-based random number generators configured for shared access by student teams. This work-in-progress documents the most recent deployment of this technology.
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Wolfer, J. (2018). Enhancing a Shared-Access, Hardware-Based, Random Number Generation System. In: Auer, M., Guralnick, D., Simonics, I. (eds) Teaching and Learning in a Digital World. ICL 2017. Advances in Intelligent Systems and Computing, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-73204-6_78
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DOI: https://doi.org/10.1007/978-3-319-73204-6_78
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