A Mathematical Random Number Generator (MRNG)
نویسندگان
چکیده
A novel Mathematical Random Number Generator (MRNG) is presented here. In this case, ”mathematical” refers to the fact that to construct that generator it is not necessary to resort to a physical phenomenon, such as the thermal noise of an electronic device, but rather to a mathematical procedure. The MRNG generates binary strings – in principle, as long as desired – which may be considered genuinely random in the sense that they pass the statistical tests currently accepted to evaluate the randomness of those strings. From those strings, the MRNG also generates random numbers expressed in base 10. An MRNG has been installed as a facility on the following web page: www.appliedmathgroup.org. This generator may be used for applications in tasks in: a) computational simulation of probabilistic-type systems, and b) the random selection of samples of different populations. Users interested in applications in cryptography can build another MRNG, but they would have to withhold information – specified in section 5 – from people who are not authorized to decode messages encrypted using that resource. 2010 Mathematics Subject Classification. 65C10, 11K45
منابع مشابه
Analysis of time series and signals using the Square Wave Method
The Square Wave Method (SWM), previously introduced for the analysis of signals and images, is presented here as a mathematical tool suitable for the analysis of time series and signals. To show the potential that the SWM has to analyze many different types of time series, the results of the analysis of a time series composed of a sequence of 10,000 numerical values are presented here. These va...
متن کاملRobust FPGA based True Random Number Generator utilizing Oscillatory Metastability in Transition Effect Ring Oscillators
We present novel architecture for True Random Number Generator based on Transition Effect Ring Oscillators. The TRNG consists of 16 transition effect oscillators and also malfunction detector. The malfunction detector can evaluate each TRNG bit right after it was generated. The evaluation utilizes described TRNG mathematical model. Our designed True Random Number Generator is implemented in Act...
متن کاملHuman being is a living random number generator
General wisdom is, mathematical operation is needed to generate number by numbers. It is pointed out that without any mathematical operation true random numbers can be generated by numbers through algorithmic process. It implies that human brain itself is a living true random number generator. Human brain can meet the enormous human demand of true random numbers. Number as well as a string of n...
متن کاملA novel design method for discrete time chaos based true random number generators
Discrete time chaos based true random number generators are lightweight cryptographic primitives that offer scalable performance for the emerging low power mobile applications. In this work, a novel design method for discrete time chaos based true random number generators is developed using skew tent map as a case study. Optimum parameter values yielding maximum randomness are calculated using ...
متن کاملBit recycling for scaling random number generators
Many Random Number Generators (RNG) are available nowadays; they are divided in two categories, hardware RNG, that provide “true” random numbers, and algorithmic RNG, that generate pseudo random numbers (PRNG). Both types usually generate random numbers (Xn)n as independent uniform samples in a range 0, . . . 2 − 1, with b = 8, 16, 32 or b = 64. In applications, it is instead sometimes desirabl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1211.5052 شماره
صفحات -
تاریخ انتشار 2012