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Dmytro Proskurin

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2024
[c6]
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Dmytro Proskurin, Tetiana Okhrimenko, Sergiy Gnatyuk, Dauriya Zhaksigulova, Nataliia Korshun:
Hybrid RNN-CNN-based model for PRNG identification (short paper). CQPC 2024: 47-53
[c5]
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Dmytro Proskurin, Maksim Iavich, Tetiana Okhrimenko, Okoro Chukwukaelonma, Tetiana Hryniuk:
Predicting pseudo-random number generator output with sequential analysis. CSDP 2024: 42-57
2023
[c4]
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Sergiy Gnatyuk, Andrew Okhrimenko, Denys Navrotskyi, Dmytro Proskurin, Bohdan Horbakha:
Dataset of Cryptographic Algorithms for UAV Image Encryption based on Artificial Neural Networks (short paper). CQPC 2023: 63-71
[c3]
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Dmytro Proskurin, Sergiy Gnatyuk, Tetiana Okhrimenko, Maksim Iavich:
ML-Based Cryptographic Keys Quality Assessment for 5G / 6G Networks Privacy and Security. IDAACS 2023: 1025-1030
[c2]
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Dmytro Proskurin, Sergiy Gnatyuk, Tetiana Okhrimenko:
Predicting Pseudo-Random and Quantum Random Number Sequences using Hybrid Deep Learning Models. MoMLeT+DS 2023: 77-88
2021
[c1]
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  - conf/cpits/ProskurinGB21
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Dmytro Proskurin, Sergiy Gnatyuk, Madina Bauyrzhan:
Distributive Training can Improve Neural Network Performance based on RL-CNN Architecture. CPITS II (1) 2021: 48-57

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