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Random numbers have a wide range of usage area such as simulation, games of chance, sampling and computer science (cryptography, game programming, data transmission). In order to use random numbers in computer science, they must have three basic requirements. First, the numbers generated must be unpredictable. Second, the numbers generated should have good statistical properties. Finally, the generated...
Knut Wold True Random Number Generator (TRNG) is used ring oscillator (RO) as the entropy source. Bit sequences that obtained using the entropy source pass the statistical tests without any post processing. However, statistical tests are not enough results for randomness. In study; for three different sampling frequencies, statistical complexity measure and non-periodic degree of KnutWold TRNG was...
For a powerful cryptographic system, high-quality random number streams are essential. Those raw pseudo-random number generators (PRNG) that are used to generate high-quality random numbers have some disadvantages, such as failure to meet the R4 security requirement. Therefore, use of random number sequences generated by these generators in a cryptographic system puts the entire system at risk. This...
The usage of numbers generated by true random number generators is critical in cryptology field due to security reasons. On the other hand, generated raw numbers rarely have good statistical properties because entropy sources used in true random number generators can be influenced by environmental factors. Post-processing is required for TRNGs to overcome the shortcomings of generated raw numbers...
Currently, chaotic signal generators is of importance in cryptographic applications and chaotic communication systems. One of the significant field of the chaotic signal oscillators are random number generators. In this paper, an FPGA-based new true random number generator system using discrete-time chaotic signal generator is presented. The system designed incorporates the Sprott 94 G chaotic system...
The concept of randomness has been used in many applications today. It has been used in unpredictable cryptography and showing good statistical distribution in production number. Providing these two properties and using randomness of natural noise sources, true random number generators have been more preferred. In this study, as a source of natural noise, over-commitment to initial conditions and...
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