A new computer-controlled platform for ADC-based true random number generator and its applications

Abstract

The basis of encryption techniques is random number generators (RNGs). The application areas of cryptology are increasing in number due to continuously developing technology, so the need for RNGs is increasing rapidly, too. RNGs can be divided into two categories as pseudorandom number generator (PRNGs) and true random number generator (TRNGs). TRNGs are systems that use unpredictable and uncontrollable entropy sources and generate random numbers. During the design of TRNGs, while analog signals belonging to the used entropy sources are being converted to digital data, generally comparators, flip-flops, Schmitt triggers, and ADCs are used. In this study, a computer-controlled new and flexible platform to find the most appropriate system parameters in ADC-based TRNG designs is designed and realized. As a sample application with this new platform, six different TRNGs that use three different outputs of Zhongtang, which is a continuous time chaotic system, as an entropy source are designed. Random number series generated with the six designed TRNGs are put through the NIST800–22 test, which has the internationally highest standards, and they pass all tests. With the help of the new platform designed, ADC-based high-quality TRNGs can be developed fast and also without the need for expertise. The platform has been designed to decide which entropy source and parameter are better by comparing them before complex embedded TRNG designs. In addition, this platform can be used for educational purposes to explain how to work an ADC-based TRNG. That is why it can be utilized as an experiment set in engineering education, as well.

Application of Chaotic Signals for Improving the Performance of New Generation Ball Mills

“…The x,y, and z time series results obtained through the program are saved as output in Microsoft Excel format to be converted into chaotic velocity data. The X time series results shown in Figure 15 are saved in ".txt" format and copied to the SD card in the PLC [23][24][25][26][27][28][29][30][31][32][33][34][35][36]. The chaotic system where the ball mill wants to be operated is selected among three different chaotic systems with the buttons on the "Chaotic Settings" screen shown in Figure 16.…”

“…In recent years, its use has been increasing in many fields, such as chaos theory, communication security [31], cryptology [32], industry [23], weather forecasts [33] and random number generators [34]. Chaos theory aims to explain the underlying order in seemingly random patterns, focusing on understanding systems that contain uncertainty and disorder.…”

“…FIGURE 7. CESSP ProgramDifferential equations of the chaotic systems[23][24][25][26][27][28][29][30][31][32][33][34][35][36] with different dynamic properties, selected from the literature for chaotic mixing experiments with the CESSP program, are solved according to the RK4 algorithm with the help of MATLAB script codes added to the program using 𝑥0, 𝑦0 and 𝑧0 initial values, and 𝑥, 𝑦, 𝑧 chaotic time series results of each chaotic system and 𝑥 − 𝑦, 𝑥 − 𝑧, 𝑦 − 𝑧, 𝑥 − 𝑦 − 𝑧 phase portraits can be obtained as shown in Figure7.To determine the most suitable chaotic system for experimental studies, a selection was made between the Lorenz system, Sprott A system and Pehlivan-Wei chaotic system according to their average milling speed.First, we consider the Sprott A chaotic system given by the Equation (4) dynamics[30].…”

Görüntü Şifreleme için Trivium-Doğrusal Eşlenik Üreteci Tabanlı Bit Üretimi

“…Önemli verileri gizlemek, başkaları tarafından anlaşılamayacak bir forma sokmak için günümüzde birçok farklı teknik kullanılmaktadır. Şifreleme işlemi yapılırken genelden mantıksal elemanlardan ve matematiksel işlemlerden faydalanılarak oluşturulan bir model kullanılır [1]. Birçok sistem şifreleme işlemi için anahtar diye tabir edilen bir değer kullanır.…”