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Description
  • Research in the sphere of random number generators is a dynamically evolving segment. The sequences of non-deterministic numbers with some specific probability distribution are especially required for the need of greater safety. This paper deals with the true random number generator (TRNG) that use direct amplification of analog noise for generation random number sequences. The true random number generators help to ensure the security of cryptographic and communication systems by the generation of different session keys. TRNGs can be also used in simulations of various physical and non-physical problems as so-called Monte Carlo technique. The proposed generator exploits a physical phenomenon - noise in semiconductor devices - that is purely random. Its structure is based on generic architecture. Noise source is created by noise amplifiers and core with bipolar transistors. For reduction of potential bias, the XOR corrector and the von Neumann corrector are implemented in the post-processing block. The proposed true random number generator is controlled by the microcontroller that also mediates communication TRNG with personal computer. Proposed structure was simulated and debugged using software model that was created in Verilog-A HDL language. Quality of output random number sequences was evaluated on the base of the Federal Information Processing Standards (FIPS) and the National Institute of Standards and Technologies (NIST) test suites. This work will serve as a base of following research of the reliable true random number generator that will be designed in CMOS technology and will be implemented in cryptographic applications for ensuring secure data transfers.
  • Research in the sphere of random number generators is a dynamically evolving segment. The sequences of non-deterministic numbers with some specific probability distribution are especially required for the need of greater safety. This paper deals with the true random number generator (TRNG) that use direct amplification of analog noise for generation random number sequences. The true random number generators help to ensure the security of cryptographic and communication systems by the generation of different session keys. TRNGs can be also used in simulations of various physical and non-physical problems as so-called Monte Carlo technique. The proposed generator exploits a physical phenomenon - noise in semiconductor devices - that is purely random. Its structure is based on generic architecture. Noise source is created by noise amplifiers and core with bipolar transistors. For reduction of potential bias, the XOR corrector and the von Neumann corrector are implemented in the post-processing block. The proposed true random number generator is controlled by the microcontroller that also mediates communication TRNG with personal computer. Proposed structure was simulated and debugged using software model that was created in Verilog-A HDL language. Quality of output random number sequences was evaluated on the base of the Federal Information Processing Standards (FIPS) and the National Institute of Standards and Technologies (NIST) test suites. This work will serve as a base of following research of the reliable true random number generator that will be designed in CMOS technology and will be implemented in cryptographic applications for ensuring secure data transfers. (en)
Title
  • Improved Structure of True Random Number Generator with Direct Amplification of Analog Noise
  • Improved Structure of True Random Number Generator with Direct Amplification of Analog Noise (en)
skos:prefLabel
  • Improved Structure of True Random Number Generator with Direct Amplification of Analog Noise
  • Improved Structure of True Random Number Generator with Direct Amplification of Analog Noise (en)
skos:notation
  • RIV/68407700:21230/12:00202179!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1601), P(VG20102015015), S
http://linked.open...iv/cisloPeriodika
  • VI
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 140913
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00202179
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • True random number generator; random number; analog noise (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [A77C5964CC61]
http://linked.open...i/riv/nazevZdroje
  • ElectroScope
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2012
http://linked.open...iv/tvurceVysledku
  • Jakovenko, Jiří
  • Kotě, Vlastimil
  • Molata, Vladimír
issn
  • 1802-4564
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
is http://linked.open...avai/riv/vysledek of
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