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2020 – today
- 2022
[c11]Oleksandr Laptiev, Valentyn Sobchuk, Igor Subach, Andrii Barabash, Ivanna Salanda:
The Method of Detecting Radio Signals Using the Approximation of Spectral Function. IT&I Workshops 2022: 52-61- [c10]Dmytro Lande, Olexander Puchkov, Ihor Subach:
Method of Detecting Cybersecurity Objects Based on OSINT Technology. ITS 2022: 115-124 - [c9]Ihor Subach, Dmytro Mogylevych, Artem Mykytiuk, Volodymyr Kubrak, Vitalii Fesokha:
Models of Fuzzy Identification of Cyber Incidents in Information and Communication Systems by Intelligent SIEM Systems. ITS 2022: 151-160 - 2021
- [c8]Ihor Subach, Dmytro Mogylevych, Artem Mykytiuk, Volodymyr Kubrak, Stanislav Korotayev:
Design Methodology of Cybersecurity Situational Center. CPITS II (1) 2021: 79-88 - [c7]Borys Kredentser, Dmytro Mogylevych, Ihor Subach, Iryna Kononova:
Taking into Account a Priori Uncertainty in the Model of Maintenance of Objects with Time Redundanc. IT&I Workshops 2021: 180-193 - [c6]Ihor Subach, Vitalii Fesokha, Artem Mykytiuk, Volodymyr Kubrak, Stanislav Korotayev:
Simulation Model of a Fuzzy Cyber Attack Detection System. ITS 2021: 92-101 - 2020
- [c5]Dmytro V. Lande
, Andrei Snarskii, Oleh O. Dmytrenko, Igor Subach:
Relaxation time in complex network. ARES 2020: 99:1-99:6 - [c4]Oleksandr Puchkov, Igor Subach, Artem Zhylin, Vitaliy V. Tsyganok:
Criteria for Classification of Cyber-training and Analysis of Organizational and Technical Platforms for Their Conduct. IT&I 2020: 37-47 - [c3]Ihor Subach, Volodymyr Kubrak, Artem Mykytiuk, Stanislav Korotayev:
Rule-oriented Method of Cyber Incidents Detection by SIEM Based on Fuzzy Logical Inference. ITS 2020: 210-219
2010 – 2019
- 2019
- [c2]Igor Subach, Volodymyr Kubrak, Artem Mykytiuk:
Methodology of Rational Choice of Security Incident Management System for Building Operational Security Center. ITS 2019: 11-20 - 2018
- [c1]Igor Subach, Alexander Chauzov:
Метод розподілу таблиць реляційної бази даних рівного об'єму та різними ймовірностями звертання до них в інформаційно-обчислювальній мережі АСУ (The Method of Distribution of Tables of a Relational Database of Equal Volume and Different Probabilities of Solving them in the Information and Computing Network of Automated Control Systems). ITS 2018: 239-250
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