Investigation of self-similar properties of additive data traffic. - Igor Ivanisenko; Lyudmyla Kirichenko; Tamara Radivilova (CSIT, 2015)

Investigation of multifractal properties of additive data stream. - Igor Ivanisenko; Lyudmyla Kirichenko; Tamara Radivilova (DSMP, 2016)

Forecasting weakly correlated time series in tasks of electronic commerce. - Lyudmyla Kirichenko; Tamara Radivilova; Illya Zinkevich (CSIT (1), 2017)

Time Series Classification Based on Fractal Properties. - Vitalii Bulakh; Lyudmyla Kirichenko; Tamara Radivilova (DSMP, 2018)

Detecting cyber threats through social network analysis: short survey. - Lyudmyla Kirichenko; Tamara Radivilova; Anders Carlsson (CoRR, 2018)

Test for penetration in Wi-Fi network: attacks on WPA2-PSK and WPA2-Enterprise. - Tamara Radivilova; Hassan Ali Hassan (CoRR, 2018)

Social Networks Communication Infrastructure: the Challenges of Multiculturalism. - Artur Gudmanian; Lubov Drotianko; Oksana Shostak; Serhii Yahodzinskyi; Tamara Radivilova (CMiGIN, 2019)

Machine Learning Detection of DDoS Attacks Based on Visualization of Recurrence Plots. - Lyudmyla Kirichenko; Petro Zinchenko; Tamara Radivilova; Maksym Tawalbeh (CMiGIN, 2019)

Comparative Analysis of Noisy Time Series Clusterin. - Lyudmyla Kirichenko; Tamara Radivilova; Anastasiia Tkachenko (COLINS, 2019)

Methods for Assessing the Maturity Levels of Software Ecosystems. - Svitlana Popereshnyak; Sergiy Grinenko; Olena Grinenko; Oleksandr Kovalenko; Tamara Radivilova (CybHyg, 2019)

Classification Methods of Machine Learning to Detect DDoS Attacks. - Tamara Radivilova; Lyudmyla Kirichenko; Dmytro Ageiev; Vitalii Bulakh (IDAACS, 2019)

Binary Classification of Fractal Time Series by Machine Learning Methods. - Lyudmyla Kirichenko; Tamara Radivilova; Vitalii Bulakh (ISDMCI, 2019)

Development of QoS methods in the information networks with fractal traffic. - Yousef Daradkeh Eid Mubarak; Lyudmyla Kirichenko; Tamara Radivilova (CoRR, 2019)

Analyzes of the Distributed System Load with Multifractal Input Data Flows. - Lyudmyla Kirichenko; Tamara Radivilova (CoRR, 2019)

Calculation of routing value in MPLS network according to traffic fractal properties. - Tamara Radivilova; Lyudmyla Kirichenko; Oleksandra Yeremenko (CoRR, 2019)

Survey of Major Load Balancing Algorithms in Distributed System. - Igor Ivanisenko; Tamara Radivilova (CoRR, 2019)

Method of Self-Similar Load Balancing in Network Intrusion Detection System. - Dmytro Ageyev; Lyudmyla Kirichenko; Tamara Radivilova; Maksym Tawalbeh; Oleksii Baranovskyi (CoRR, 2019)

Classification of Existing Virtualization Methods Used in Telecommunication Networks. - Dmytro Ageyev; Oleg Bondarenko; Tamara Radivilova; Walla Alfroukh (CoRR, 2019)

Decrypting SSL/TLS traffic for hidden threats detection. - Tamara Radivilova; Lyudmyla Kirichenko; Dmytro Ageyev; Maxim Tawalbeh; Vitalii Bulakh (CoRR, 2019)

Use of Approaches to the Methodology of Factor Analysis of Information Risks for the Quantitative Assessment of Information Risks Based on the Formation of Cause-And-Effect Links. - Ihor Dobrynin; Tamara Radivilova; Nadiia Maltseva; Dmytro Ageyev (CoRR, 2019)

Dynamic load balancing algorithm of distributed systems. - Lyudmila Kirichenko; Igor Ivanisenko; Tamara Radivilova (CoRR, 2019)

Calculation of distributed system imbalance in condition of multifractal load. - Tamara Radivilova; Lyudmyla Kirichenko; Igor Ivanisenko (CoRR, 2019)

Fractal Time Series Analysis of Social Network Activities. - Lyudmyla Kirichenko; Vitalii Bulakh; Tamara Radivilova (CoRR, 2019)

The Methods to Improve Quality of Service by Accounting Secure Parameters. - Tamara Radivilova; Lyudmyla Kirichenko; Dmytro Ageiev; Vitalii Bulakh (CoRR, 2019)

The multifractal load balancing method. - Igor Ivanisenko; Tamara Radivilova (CoRR, 2019)

Machine Learning in Classification Time Series with Fractal Properties. - Lyudmyla Kirichenko; Tamara Radivilova; Vitalii Bulakh (Data, 2019)

Machine learning classification of multifractional Brownian motion realizations. - Lyudmyla Kirichenko; Vitalii Bulakh; Tamara Radivilova (CMIS, 2020)

Analysis of 2-Isogeny Properties of Generalized Form Edwards Curves. - Anatoly Bessalov; Lyudmila Kovalchuk; Volodymyr Sokolov; Pavlo Skladannyi; Tamara Radivilova (CPITS, 2020)

The Complex Method of Intrusion Detection Based on Anomaly Detection and Misuse Detection. - Tamara Radivilova; Lyudmyla Kirichenko; Abed Saif Alghawli; Andrii Ilkov; Maxim Tawalbeh; Petro Zinchenko (DESSERT, 2020)

Two Approaches to Machine Learning Classification of Time Series Based on Recurrence Plots. - Lyudmyla Kirichenko; Tamara Radivilova; Vitalii Bulakh; Petro Zinchenko; Abed Saif Alghawli (DSMP, 2020)

Classification of Time Realizations Using Machine Learning Recognition of Recurrence Plots. - Lyudmyla Kirichenko; Petro Zinchenko; Tamara Radivilova (ISDMCI, 2020)

Applying Recurrence Plots to Classify Time Series. - Lyudmyla Kirichenko; Tamara Radivilova; Juliia Stepanenko (COLINS, 2021)

Traffic Monitoring and Abnormality Detection Methods for Decentralized Distributed Networks. - Dmytro Ageyev; Tamara Radivilova (CPITS I, 2021)

Information technology for time series forecasting based on the evolutionary method of the forecasting scheme synthesis. - Oksana Mulesa; Anatoliy Batyuk; Fedir Geche; Olena Melnyk; Mykola Palinchak; Tamara Radivilova (CSIT (2), 2021)

Analysis of Anomaly Detection and Identification Methods in 5G Traffic. - Tamara Radivilova; Lyudmyla Kirichenko; Oleksandr Lemeshko; Dmytro Ageyev; Oksana Mulesa; Andrii Ilkov (IDAACS, 2021)

Applying Visibility Graphs to Classify Time Series. - Lyudmyla Kirichenko; Tamara Radivilova; Vitalii Ryzhanov (ISDMCI, 2021)

Development of a Method to Find the Location of a Logistics Hub. - Oksana Mulesa; Oleksandr Mitsa; Tamara Radivilova; Igor Povkhan; Olena Melnyk (IT&I, 2021)

Collaborative Human-AI Decision-Making Systems with Numerical Channels. - Oksana Mulesa; Mykola Kotsipak; Serge Dolgikh; Yurii Bilak; Tamara Radivilova; Oleksii Baranovskyi (ACIT, 2022)

Video Surveillance Shoplifting Recognition Based on a Hybrid Neural Network. - Lyudmyla Kirichenko; Bohdan Sydorenko; Tamara Radivilova; Petro Zinchenko (CSIT, 2022)

Designing Semi-Automated Decision-Making Expert Systems for Healthcare Tasks. - Oksana Mulesa; Olga Kachmar; Ivan Myronyuk; Petro Horvat; Tamara Radivilova; Yevhenii Kykyna (CSIT, 2022)

Application of Wavelet Transform for Machine Learning Classification of Time Series. - Lyudmyla Kirichenko; Oksana Pichugina; Tamara Radivilova; Kyrylo Pavlenko (ISDMCI, 2022)

Trend Detection in Short Time Series Using Discrete Wavelet Transform. - Lyudmyla Kirichenko; Tamara Radivilova; Oksana Pichugina; Larysa Chala; Danyil Khandak (IT&I, 2022)

Binary classification: Ensemble Methods Utilizing Decision Theory Tools. - Oksana Pichugina; Lyudmyla Kirichenko; Tamara Radivilova (ProfIT AI, 2022)

Detection of Shoplifting on Video Using a Hybrid Network. - Lyudmyla Kirichenko; Tamara Radivilova; Bohdan Sydorenko; Sergiy Yakovlev (Comput., 2022)

Information Technology Development for Social Services Consumers' Choice. - Oksana Mulesa; Marian Tokar; Tamara Radivilova; Olena Yatsyna; Mariia Shnitser (IT&I, 2023)

Exploring Stochastic Time Series Structure Through Wavelet Entropy. - Lyudmyla Kirichenko; Oksana Pichugina; Larysa Chala; Tamara Radivilova (ISDMCI (1), 2024)

Resilient Cloud cluster with DevSecOps security model, automates a data analysis, vulnerability search and risk calculation. - Abed Saif Ahmed Alghawli; Tamara Radivilova (CoRR, 2024)

Design of mechanisms for ensuring the execution of tasks in project planning. - Oksana Mulesa; Petro Horvat; Tamara Radivilova; Volodymyr Sabadosh; Oleksii Baranovskyi; Sergii Duran (CoRR, 2025)