TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Ewert, Mandana
T1  - A Random Number Generator Based on Electronic Noise and the Xorshift Algorithm
T2  - ICNCC 2018. Proceedings of the 2018 VII International Conference on Network, Communication and Computing. Taipei City, Taiwan, December 14-16, 2018
N2  - This paper introduces a random number generator (RNG) based on the avalanche noise of two diodes. A true random number generator (TRNG) generates true random numbers with the use of the electronic noise produced by two avalanche diodes. The amplified outputs of the diodes are sampled and digitized. The difference between the two concurrently sampled and digitized outputs is calculated and used to select a seed and to drive a pseudo-random number generator (PRNG). The PRNG is an xorshift generator that generates 1024 bits in each cycle. Every sequence of 1024 bits is moderately modified and output. The TRNG delivers the next seed and the next cycle begins. The statistical behavior of the generator is analyzed and presented.
KW  - Random number generator
KW  - true random number generator
KW  - pseudo-random number generator
KW  - xorshift-generator
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-43574
SN  - 978-1-4503-6553-6
SB  - 978-1-4503-6553-6
U6  - https://doi.org/10.1145/3301326.3301359
DO  - https://doi.org/10.1145/3301326.3301359
SP  - 357
EP  - 362
PB  - Association for Computing Machinery
CY  - New York, NY, United States
ER  -