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2020 – today
- 2025
[c18]Maksym Yu. Chaikovskyi, Oleg Savenko, Sergii Lysenko, Vladyslav Ivanyna, Inna I. Chaikovska, Bohdan Savenko:
A Method for Classifying Polymorphic Viruses Based on Fuzzy Logical Inference. ACIT 2025: 516-521- [c17]Anatoliy Sachenko, Tomas Sochor, Bohdan Savenko, Yuriy Stetsyuk, Vasyl Stetsyuk:
Optimization of centralization of network OS security resources based on dynamic transfer of control between network nodes. AISSLE 2025: 48-61 - [c16]Piotr Gaj, Tomas Sochor, Maksym Korobchynskyi, Bohdan Savenko, Oleksandr Kozelskyi:
Hybrid method for protecting RTOS from failures and cyberattacks using compact Markov models. AISSLE 2025: 361-376 - [c15]Oleksandr Kozelskyi, Andriy Drozd, Bohdan Savenko, Piotr Gaj:
A model for probabilistic monitoring and proactive restart of real-time operating systems under intensive state changes in cyber-physical systems. ICyberPhyS 2025: 198-210 - [c14]Yuriy Stetsyuk, Mykola Stetsyuk, Bohdan Savenko, Andrzej Kwiecien, Lukasz Kopania:
Method of random dynamic control transfer between network nodes for a partially centralized OS security system 264-283. IntelITSIS 2025: 264-283 - 2024
- [c13]Dmytro Denysiuk, Oleg Savenko, Sergii Lysenko, Bohdan Savenko, Andrii Nicheporuk:
Detecting software implants using system decoys. AdvAIT 2024: 277-287 - 2023
- [j1]Sergii Lysenko
, Bohdan Savenko:
Distributed Discrete Malware Detection Systems Based on Partial Centralization and Self-Organization. Int. J. Comput. 22(2): 117-139 (2023) - [c12]Dmytro Denysiuk, Oleg Savenko, Sergii Lysenko, Bohdan Savenko, Antonina Kashtalian:
Method for Detecting Steganographic Changes in Images Using Machine Learning. DESSERT 2023: 1-6 - [c11]Bohdan Savenko, Antonina Kashtalian, Sergii Lysenko, Oleg Savenko:
Malware Detection By Distributed Systems with Partial Centralization. IDAACS 2023: 265-270 - [c10]Oleg Savenko, Mykola Stetsyuk, Yuriy Stetsyuk, Antonina Kashtalian, Bohdan Savenko:
The Hardware and Software Part of a Distributed Decentralized Systems Detection Malicious Software. IntelITSIS 2023: 437-451 - 2022
- [c9]Bohdan Savenko, Antonina Kashtalian, Tomas Sochor, Andrii Nicheporuk:
Self-organized distributed anomaly detection system in computer systems based on the principal components method. IntelITSIS 2022: 329-351 - [c8]Sergii Lysenko, Kira Bobrovnikova, Bohdan Savenko, Piotr Gaj, Oleg Savenko:
Botnet Detection Approach Based on DNS. IntelITSIS 2022: 400-410 - 2021
- [c7]Bohdan Savenko, Sergii Lysenko, Kira Bobrovnikova, Oleg Savenko, George Markowsky:
Detection DNS Tunneling Botnets. IDAACS 2021: 64-69 - [c6]Mykola Stetsyuk, Vasyl Stetsyuk, Bohdan Savenko, Oleg Savenko, Maciej Dobrowolski:
Implementation of Control by Parameters of Client Automated Workplaces of Specialized Information Systems for Neutralization malware. IntelITSIS 2021: 340-352 - 2020
- [c5]Andrii Nicheporuk, Vadym Paiuk, Bohdan Savenko, Oleg Savenko, Olena Geidarova:
Detecting Software Malicious Implant Based on Anomalies Research on Local Area Networks. IntelITSIS 2020: 194-207 - [c4]Mykola Stetsyuk, Leonid Bedratyuk, Bohdan Savenko, Vasyl Stetsyuk, Oleg Savenko:
Providing the Resilience and Survivability of Specialized Information Technology Across Corporate Computer Networks. IntelITSIS 2020: 219-238
2010 – 2019
- 2017
- [c3]Sergii Lysenko, Oleg Savenko, Kira Bobrovnikova, Andrii Kryshchuk, Bohdan Savenko:
Information Technology for Botnets Detection Based on Their Behaviour in the Corporate Area Network. CN 2017: 166-181 - [c2]Oleg Savenko, Sergii Lysenko, Andrii Nicheporuk, Bohdan Savenko:
Metamorphic Viruses' Detection Technique Based on the Equivalent Functional Block Search. ICTERI 2017: 555-568 - [c1]Oleg Savenko, Sergii Lysenko, Andrii Nicheporuk, Bohdan Savenko:
Approach for the unknown metamorphic virus detection. IDAACS 2017: 71-76
Coauthor Index
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