Dosimetric Detector Hardware Simulation Model Based on Modified Additive Fibonacci Generator

Maksymovych, Volodymyr; Mandrona, Marya N.; Harasymchuk, Oleh

doi:10.1007/978-3-030-16621-2_15

Cited by 4 publications

(9 citation statements)

References 9 publications

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“…The generator [16][17][18], whose structural scheme is illustrated in Figure 1, consisted of a modified additive Fibonacci generator (MAFG), which contained registers Rg1-Rg5, adders Ad1-Ad3, logical scheme LS, as well as a comparing scheme CS and logical element &. All the structural MAFG elements, except LS, worked in binary-decimal code.…”

Section: Structural Scheme Ppsg and The Principle Of Its Operationmentioning

confidence: 99%

“…These generators are widely used in different branches of techniques for simulating different processes that have a random temporal and spatial nature [9], for sociological and scientific research [10,11]. Such generators are effectively used to solve cybersecurity problems [12,13], to simulate the output signals of dosimetric detectors when designing them, and testing devices for measuring the parameters of ionizing radiation [14][15][16][17][18][19], because the number of radioactive decay particles detected by the detector over a period of time is subject to the Poisson distribution law.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of Authentication in Information-Processing Electronic Devices Based on Poisson Pulse Sequence Generators

et al. 2022

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Poisson pulse sequence generators are quite well studied, have good statistical properties, are implemented both in software and hardware, but have not yet been used for the purpose of authentication. The work was devoted to modeling authenticators of information-processing electronic devices by creating a bit template simulator based on a Poisson pulse sequence generator (PPSG). The generated templates imitated an important property of real bit templates, which reflected the physical uniqueness of electronic devices, namely Hamming distances between arbitrary template pairs for the same device were much smaller than the distance between arbitrary template pairs for two different devices. The limits of the control code values were determined by setting the range of the average frequency values of the output pulse sequence with the Poisson distribution law. The specified parameters of the output pulse sequence were obtained due to the optimization of the parameters of the PPSG structural elements. A combination of pseudo-random sequences with the control code’s different values formed the bit template. The comparison of the Hamming distance between the standard and real-time templates with a given threshold value was used as a validation mechanism. The simulation experiment results confirmed the unambiguous authentication of devices. The simulation results also showed similarities with the real data obtained for the bit templates of personal computers’ own noise. The proposed model could be used for improving the cybersecurity of a corporate network as an additional factor in the authentication of information-processing electronic devices for which the measurement of noise with the required accuracy is not possible or significantly difficult.

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Section: Structural Scheme Ppsg and The Principle Of Its Operationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation of Authentication in Information-Processing Electronic Devices Based on Poisson Pulse Sequence Generators

et al. 2022

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“…In articles [10][11][12][13][14][15][16][17][18][19], modified additive Fibonacci generators (MAFG) were proposed, operating according to the equation:…”

Section: Related Workmentioning

confidence: 99%

“…In the studies of [10,11,19], it is shown that the process of adding the number "a" causes certain "confusion"-the dependence of each bit of the number, including the youngest bit, from all its other bits, allows to significantly improve the statistical characteristics of the output signals of the MAFG. An array of initial values of numbers x i , x i−a , x i−b , .…”

Section: Related Workmentioning

confidence: 99%

“…These numbers are used as the initial values of the registers that are part of its block diagram. Our research on AGF and MAGF [10,11,13,18,19] show a significant dependence of the statistical characteristics of the pseudorandom sequence at the output of the generator on the output parameters. In particular, they strongly depend on the value of the repetition period of the output sequence [10,13].…”

Section: Case Studymentioning

confidence: 99%

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A New Approach to the Development of Additive Fibonacci Generators Based on Prime Numbers

et al. 2021

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Pseudorandom number and bit sequence generators are widely used in cybersecurity, measurement, and other technology fields. A special place among such generators is occupied by additive Fibonacci generators (AFG). By itself, such a generator is not cryptographically strong. Nevertheless, when used as a primary it can be quite resistant to cryptanalysis generators. This paper proposes a modification to AGF, the essence of which is to use prime numbers as modules of recurrent equations describing the operation of generators. This modification made it possible to ensure the constancy of the repetition period of the output pseudorandom pulse sequence in the entire range of possible values of the initial settings–keys (seed) at specific values of the module. In addition, it has proposed a new generator scheme, which consists of two generators: the first of which is based on a modified AFG and the second is based on a linear feedback shift register (LFSR). The output pulses of both generators are combined through a logic element XOR. The results of the experiment show that the specific values of modules provide a constant repetition period of the output pseudorandom pulse sequence in a whole range of possible values of the initial settings–keys (seed) and provide all the requirements of the NIST test to statistical characteristics of the sequence. Modified AFGs are designed primarily for hardware implementation, which allows them to provide high performance.

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Development of Modified Blum-Blum-Shub Pseudorandom Sequence Generator and its Use in Education

Przystupa

Yan

et al. 2022

Measurement Science Review

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In information security systems, the algorithm of the Blum-Blum-Shub (BBS) generator, which is based on the use of a one-way function and is a cryptographically secure pseudorandom number generator, became widespread. In this paper, the problem of the analysis of modified algorithms of the BBS generator operation is considered to improve their statistical characteristics, namely, the sequence repetition period. It has been established that in order to improve the characteristics of the classic BBS algorithm, it is necessary to systematize approaches to change the recurrent equation itself, the relationship between the current and the previous members of the sequence. For this purpose, a generalized unified model of the modification of the classical BBS algorithm is derived. The repetition period with computational complexity were analyzed for classical algorithm and 80 proposed modifications. A gain in statistical characteristics is improved with slight increase in the required computing power of the system. The proposed modified BBS pseudorandom sequence generator can be used in training of students when teaching cryptographic stability of information security systems. The study of this generator combines the knowledge of students acquired in both digital electronics and mathematics.

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Dosimetric Detector Hardware Simulation Model Based on Modified Additive Fibonacci Generator

Cited by 4 publications

References 9 publications

Simulation of Authentication in Information-Processing Electronic Devices Based on Poisson Pulse Sequence Generators

Simulation of Authentication in Information-Processing Electronic Devices Based on Poisson Pulse Sequence Generators

A New Approach to the Development of Additive Fibonacci Generators Based on Prime Numbers

Development of Modified Blum-Blum-Shub Pseudorandom Sequence Generator and its Use in Education

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