MULTICRITERIA METHODOLOGY FOR SELECTING POISSON PULSE SEQUENCE GENERATORS FOR INFORMATION PROTECTION TASKS
DOI:
https://doi.org/10.28925/2663-4023.2025.34.1348Keywords:
pseudo-random pulse sequence generator, Poisson process, multicriteria selection, cybersecurity, information protection, cryptographic security, statistical modeling, covert channels, device authentication.Abstract
The paper investigates pseudo-random pulse sequence generators with a Poisson distribution law as a means of addressing specific cybersecurity and information protection tasks. A generalized structural scheme of a pseudo-random pulse sequence generator (PRPSG) and the basic classes of pseudo-random number generators used for their implementation are considered. It is substantiated that the selection of a generator cannot be based solely on the criterion of statistical compliance with the Poisson distribution, since different application scenarios impose different requirements on statistical, temporal, computational, and cryptographic characteristics. A multicriteria methodology for generator selection is proposed, taking into account statistical conformity to the Poisson process, performance, cryptographic strength, period/reproducibility, and hardware implementation feasibility. Differentiated generator requirement profiles are developed for traffic modeling, synthetic event generation, jitter generation, covert data transmission, and device authentication. A comparative analysis of MAGF, LCG, LFSR, CSPRNG, and physical sources of randomness is conducted. It is substantiated that the optimal generator class is determined by the requirements profile of a specific application scenario rather than by the existence of a universal alternative. Recommendations are formulated for selecting the appropriate generator class depending on the application scenario in information protection tasks.
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