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Сергій Лисенко
Сергій Лисенко
Khmelnytskyi National University; Хмельницький національний університет
Подтвержден адрес электронной почты в домене khmnu.edu.ua - Главная страница
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Год
Multi-agent based approach of botnet detection in computer systems
O Savenko, S Lysenko, A Kryschuk
Computer Networks: 19th International Conference, CN 2012, Szczyrk, Poland …, 2012
412012
Anti-evasion technique for the botnets detection based on the passive DNS monitoring and active DNS probing
O Pomorova, O Savenko, S Lysenko, A Kryshchuk, K Bobrovnikova
Computer Networks: 23rd International Conference, CN 2016, Brunów, Poland …, 2016
372016
A cyberattacks detection technique based on evolutionary algorithms
S Lysenko, K Bobrovnikova, R Shchuka, O Savenko
2020 IEEE 11th International Conference on Dependable Systems, Services and …, 2020
362020
DNS-based anti-evasion technique for botnets detection
S Lysenko, O Pomorova, O Savenko, A Kryshchuk, K Bobrovnikova
2015 IEEE 8th international conference on intelligent data acquisition and …, 2015
352015
A technique for the botnet detection based on DNS-traffic analysis
O Pomorova, O Savenko, S Lysenko, A Kryshchuk, K Bobrovnikova
Computer Networks: 22nd International Conference, CN 2015, Brunów, Poland …, 2015
332015
Self-adaptive system for the corporate area network resilience in the presence of botnet cyberattacks
S Lysenko, O Savenko, K Bobrovnikova, A Kryshchuk
Computer Networks: 25th International Conference, CN 2018, Gliwice, Poland …, 2018
322018
Detection of the botnets’ low-rate DDoS attacks based on self-similarity
S Lysenko, K Bobrovnikova, S Matiukh, I Hurman, O Savenko
International Journal of Electrical and Computer Engineering 10 (4), 3651-3659, 2020
312020
BotGRABBER: SVM-based self-adaptive system for the network resilience against the botnets’ cyberattacks
S Lysenko, K Bobrovnikova, O Savenko, A Kryshchuk
Computer Networks: 26th International Conference, CN 2019, Kamień Śląski …, 2019
312019
Dynamic Signature-based Malware Detection Technique Based on API Call Tracing.
O Savenko, A Nicheporuk, I Hurman, S Lysenko
ICTERI workshops, 633-643, 2019
302019
Information technology for botnets detection based on their behaviour in the corporate area network
S Lysenko, O Savenko, K Bobrovnikova, A Kryshchuk, B Savenko
Computer Networks: 24th International Conference, CN 2017, Lądek Zdrój …, 2017
302017
Metamorphic Viruses' Detection Technique Based on the Equivalent Functional Block Search.
O Savenko, S Lysenko, A Nicheporuk, B Savenko
ICTERI, 555-568, 2017
302017
Botnet detection technique for corporate area network
O Savenko, S Lysenko, A Kryshchuk, Y Klots
2013 IEEE 7th International Conference on Intelligent Data Acquisition and …, 2013
302013
A botnet detection approach based on the clonal selection algorithm
S Lysenko, K Bobrovnikova, O Savenko
2018 IEEE 9th International Conference on Dependable Systems, Services and …, 2018
282018
Multi-agent based approach for botnet detection in a corporate area network using fuzzy logic
O Pomorova, O Savenko, S Lysenko, A Kryshchuk
Computer Networks: 20th International Conference, CN 2013, Lwówek Śląski …, 2013
282013
Technique for IoT malware detection based on control flow graph analysis
K Bobrovnikova, S Lysenko, B Savenko, P Gaj, O Savenko
Radioelectronic and Computer Systems, 141-153, 2022
262022
Approach for the unknown metamorphic virus detection
O Savenko, S Lysenko, A Nicheporuk, B Savenko
2017 9th IEEE International Conference on Intelligent Data Acquisition and …, 2017
262017
A technique for detection of bots which are using polymorphic code
O Pomorova, O Savenko, S Lysenko, A Kryshchuk, A Nicheporuk
Computer Networks: 21st International Conference, CN 2014, Brunów, Poland …, 2014
262014
Metamorphic Viruses Detection Technique Based on the the Modified Emulators.
O Pomorova, O Savenko, S Lysenko, A Nicheporuk
ICTERI, 375-383, 2016
252016
DDoS Botnet Detection Technique Based on the Use of the Semi-Supervised Fuzzy c-Means Clustering.
S Lysenko, O Savenko, K Bobrovnikova
ICTERI Workshops, 688-695, 2018
212018
The Technique for Metamorphic Viruses' Detection Based on Its Obfuscation Features Analysis.
G Markowsky, O Savenko, S Lysenko, A Nicheporuk
ICTERI Workshops, 680-687, 2018
202018
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