Distributed high yield hardware random number generator

Authors

  • Gremyco C. Estoista National Institute of Physics, University of the Philippines Diliman
  • Giovanni A. Tapang National Institute of Physics, University of the Philippines Diliman

Abstract

We implement a True Random Number Generator server based on the avalanche breakdown of four NPN transistors with a yield of approximately 320 kbps.

SPP2023 Proceedings Cover

Downloads

Published

2023-07-13

Issue

2023: Proceedings of the 41st Samahang Pisika ng Pilipinas Physics Conference

Section

Poster Session A (Materials Science, Instrumentation, and Photonics)

License

By submitting their manuscript to the Samahang Pisika ng Pilipinas (SPP) for consideration, the Authors warrant that their work is original, does not infringe on existing copyrights, and is not under active consideration for publication elsewhere.
Upon acceptance of their manuscript, the Authors further agree to grant SPP the non-exclusive, worldwide, and royalty-free rights to record, edit, copy, reproduce, publish, distribute, and use all or part of the manuscript for any purpose, in any media now existing or developed in the future, either individually or as part of a collection.
All other associated economic and moral rights as granted by the Intellectual Property Code of the Philippines are maintained by the Authors.

How to Cite

[1]
“Distributed high yield hardware random number generator”, Proc. SPP, vol. 41, no. 1, p. SPP-2023-PA-31, Jul. 2023, Accessed: Mar. 25, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2023-PA-31