Chaotic cellular neural network‐based true random number generator

Karakaya, Barış; Çelik, Vedat; Gülten, Arif

doi:10.1002/cta.2374

Cited by 28 publications

(6 citation statements)

References 35 publications

(43 reference statements)

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“…Entropy of nondeterministic source is used as input to the true random number generator (TRNG) that induces complex and unpredictability properties. For instance, mouse movements or electrical signal noise and bioelectrical signals can be utilized for TRNG process [9][10][11][12][13]. On the other hand, PRNG computed by a deterministic algorithm makes use of a complex mathematical formula in order to remain deterministic and yet unpredictable [14].…”

Section: Related Workmentioning

confidence: 99%

Beyond Statistical Analysis in Chaos-Based CSPRNG Design

Arockiasamy

Elizabeth

Vaidyanathan

2021

Security and Communication Networks

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The design of cryptographically secure pseudorandom number generator (CSPRNG) producing unpredictable pseudorandom sequences robustly and credibly has been a nontrivial task. Almost all the chaos-based CSPRNG design approaches invariably depend only on statistical analysis. Such schemes designed to be secure are being proven to be predictable and insecure day by day. This paper proposes a design and instantiation approach to chaos-based CSPRNG using proven generic constructions of modern cryptography. The proposed design approach with proper instantiation of such generic constructions eventually results in providing best of both worlds that is the provable security guarantees of modern cryptography and passing of necessary statistical tests as that of chaos-based schemes. Also, we introduce a new coupled map lattice based on logistic-sine map for the construction of CSPRNG. The proposed pseudorandom number generator is proven using rigorous security analysis as that of modern cryptography and tested using the standard statistical testing suites. It is observed that the generated sequences pass all stringent statistical tests such as NIST, Dieharder, ENT, and TestU01 randomness test suites.

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Section: Related Workmentioning

confidence: 99%

Beyond Statistical Analysis in Chaos-Based CSPRNG Design

Arockiasamy

Elizabeth

Vaidyanathan

2021

Security and Communication Networks

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“…Due to the circuit structure used in this study, the margin of error should be within the appropriate limits. Since the design of chaotic behavior on a digital platform is obtained, less resource usage makes the chosen method even more important [38,39]. For this reason, Euler method is chosen as the discretization method.…”

Section: Chaotic Maskingmentioning

confidence: 99%

Design and Realization of a Hyperchaotic Memristive System for Communication System on FPGA

Şahin¹,

Güler²,

Hamamcı³

2020

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In this study, a memristor based hyperchaotic circuit is presented and implemented for communication systems on FPGA platform. Four dimensional hyperchaotic system, which contains active flux controlled memristor is designed by using a smooth continuous nonlinearity. Dynamical characteristics of designed hyperchaotic circuit are examined such as equilibrium points, chaotic attractors, Lyapunov exponents and bifurcation diagram. Furthermore, an electronic circuit model of hyperchaotic system has been modeled and results are submitted. Chaotic circuits are used in communication systems especially in secure communication due to their sensitive dependence on the initial conditions, not periodic, and having a spread spectrum. By using nonlinearity of memristor, the signals obtained from memristor based hyperchaotic system have been realized to analog and digital communication schemes on FPGA platform, which is suitable for re-programmable and reconfigurable systems. The success of memristor based hyperchaotic circuit with FPGA based communication is demonstrated by both simulation and experimental results.

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“…Chaos phenomenon is widely applied in the field of engineering. Specifically, electronic circuits [44][45][46][47][48][49][50], secure communication [51], robotic [52], random bits generator [53], and voice encryption [54]. In this section, we describe a possible circuit to implement new chaotic system with line of equilibria (1) as presented in Figure 4.…”

Section: Circuit Design Of the New Chaotic Systemmentioning

confidence: 99%

A New Chaotic System with Line of Equilibria: Dynamics, Passive Control and Circuit Design

Sambas¹,

Mamat

Arafa

et al. 2019

IJECE

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<p>A new chaotic system with line equilibrium is introduced in this paper. This system consists of five terms with two transcendental nonlinearities and two quadratic nonlinearities. Various tools of dynamical system such as phase portraits, Lyapunov exponents, Kaplan-Yorke dimension, bifurcation diagram and Poincarè map are used. It is interesting that this system has a line of fixed points and can display chaotic attractors. Next, this paper discusses control using passive control method. One example is given to insure the theoretical analysis. Finally, for the new chaotic system, An electronic circuit for realizing the chaotic system has been implemented. The numerical simulation by using MATLAB 2010 and implementation of circuit simulations by using MultiSIM 10.0 have been performed in this study.</p>

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Chaotic cellular neural network‐based true random number generator

Cited by 28 publications

References 35 publications

Beyond Statistical Analysis in Chaos-Based CSPRNG Design

Beyond Statistical Analysis in Chaos-Based CSPRNG Design

Design and Realization of a Hyperchaotic Memristive System for Communication System on FPGA

A New Chaotic System with Line of Equilibria: Dynamics, Passive Control and Circuit Design

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