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Publications in Math-Net.Ru
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Transfer learning in network intrusion detection systems: a review of methods and approaches
Proceedings of ISP RAS, 37:6(3) (2025), 73–90
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Research of the effectiveness of MPQUIC protocol schedulers depending on the ņongestion ņontrol algorithms
Proceedings of ISP RAS, 37:6(2) (2025), 7–20
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Round-trip time prediction using machine learning methods
Proceedings of ISP RAS, 37:5 (2025), 53–66
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Machine learning based congestion control methods: a survey
Proceedings of ISP RAS, 37:3 (2025), 251–276
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Applicances of different kind of storage systems for network traffic analysis results
Proceedings of ISP RAS, 36:2 (2024), 7–20
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Investigation of the possibility of identifying websites visited by the user based on HTTP/2 traffic
Proceedings of ISP RAS, 35:5 (2023), 23–36
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Deep learning applications for intrusion detection in network traffic
Proceedings of ISP RAS, 35:4 (2023), 65–92
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Challenges in the implementation of systems for deep packet inspection by the method of full protocol decoding
Proceedings of ISP RAS, 35:4 (2023), 45–64
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A comparison of a machine learning-based intrusion detection system and signature-based systems
Proceedings of ISP RAS, 34:5 (2022), 111–126
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Methodology for collecting a training dataset for an intrusion detection model
Proceedings of ISP RAS, 33:5 (2021), 83–104
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High-speed network traffic capturing and processing tools
Proceedings of ISP RAS, 33:4 (2021), 49–68
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Identification of transparent, compressed and encrypted data in network traffic
Proceedings of ISP RAS, 33:4 (2021), 31–48
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A survey of network traffic classification methods using machine learning
Proceedings of ISP RAS, 32:6 (2020), 137–154
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A survey of problems and solution methods in network traffic classification
Proceedings of ISP RAS, 29:3 (2017), 117–150
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Of presenting the results of network traffic analysis
Proceedings of ISP RAS, 28:6 (2016), 103–110
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Model of data handling for in-depth analysis of network traffic
Proceedings of ISP RAS, 27:4 (2015), 5–22
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