Network Attack Detection Based on Combination of Neural, Immune and Neuro-Fuzzy Classifiers. - Alexander Branitskiy; Igor V. Kotenko (CSE, 2015)

Network Anomaly Detection Based on an Ensemble of Adaptive Binary Classifiers. - Alexander Branitskiy; Igor V. Kotenko (MMM-ACNS, 2017)

Attack Detection in Mobile Internet and Networks Using the Graph-Based Schemes for Combining the Support Vector Machines. - Alexander Branitskiy; Igor V. Kotenko (MobiSec, 2017)

Hybridization of computational intelligence methods for attack detection in computer networks. - Alexander Branitskiy; Igor V. Kotenko (J. Comput. Sci., 2017)

Software Tool for Testing the Packet Analyzer of Network Attack Detection Systems. - Alexander Branitskiy; Igor V. Kotenko (SIN, 2018)

Framework for Mobile Internet of Things Security Monitoring Based on Big Data Processing and Machine Learning. - Igor V. Kotenko; Igor Saenko 001; Alexander Branitskiy (IEEE Access, 2018)

Applying Big Data Processing and Machine Learning Methods for Mobile Internet of Things Security Monitoring. - Igor V. Kotenko; Igor Saenko 001; Alexander Branitskiy (J. Internet Serv. Inf. Secur., 2018)

An Approach to Intelligent Distributed Scanning and Analytical Processing of the Internet Inappropriate Information. - Alexander Branitskiy; Andrey Fedorchenko; Igor V. Kotenko; Igor Saenko 001 (IDAACS, 2019)

The Common Approach to Determination of the Destructive Information Impacts and Negative Personal Tendencies of Young Generation Using the Neural Network Methods for the Internet Content Processing. - Alexander Branitskiy; Elena Doynikova; Igor V. Kotenko; Natalia Krasilnikova; Dmitry Levshun; Artem Tishkov; Nina Vanchakova (IDC, 2019)

Attack Detection in IoT Critical Infrastructures: A Machine Learning and Big Data Processing Approach. - Igor V. Kotenko; Igor Saenko 001; Alexey Kushnerevich; Alexander Branitskiy (PDP, 2019)

Determination of Young Generation's Sensitivity to the Destructive Stimuli based on the Information in Social Networks. - Alexander Branitskiy; Dmitry Levshun; Natalia Krasilnikova; Elena Doynikova; Igor V. Kotenko; Artem Tishkov; Nina Vanchakova; Andrey Chechulin (J. Internet Serv. Inf. Secur., 2019)

Analysis of Formats of Young People's Communicative Behavior in Social Network. - Igor V. Kotenko; Alexander Branitskiy; Artem Tishkov; Elena Doynikova (ICSTCC, 2020)

The intelligent system for detection and counteraction of malicious and inappropriate information on the Internet. - Igor V. Kotenko; Lidiya Vitkova; Igor Saenko 001; Olga Tushkanova; Alexander Branitskiy (AI Commun., 2020)

Machine Learning and Big Data Processing for Cybersecurity Data Analysis. - Igor V. Kotenko; Igor Saenko 001; Alexander Branitskiy (Data Science in Cybersecurity and Cyberthreat Intelligence, 2020)

Predicting the Mental State of the Social Network Users based on the Latent Dirichlet Allocation and fastText. - Igor V. Kotenko; Yash Sharma 003; Alexander Branitskiy (IDAACS, 2021)

Detection and Monitoring of the Destructive Impacts in the Social Networks Using Machine Learning Methods. - Elena Doynikova; Alexander Branitskiy; Igor V. Kotenko (IHAW, 2021)

Applying machine learning and parallel data processing for attack detection in IoT. - Alexander Branitskiy; Igor V. Kotenko; Igor Saenko 001 (IEEE Trans. Emerg. Top. Comput., 2021)

Sentiment Analysis of Social Network Posts for Detecting Potentially Destructive Impacts. - Diana Gaifulina; Alexander Branitskiy; Dmitry Levshun; Elena Doynikova; Igor V. Kotenko (IDC, 2022)

Detection of Cyberattacks and Anomalies in Cyber-Physical Systems: Approaches, Data Sources, Evaluation. - Olga Tushkanova; Dmitry Levshun; Alexander Branitskiy; Elena Fedorchenko; Evgenia Novikova; Igor V. Kotenko (Algorithms, 2023)

Considerations on sentiment of social network posts as a feature of destructive impacts. - Diana Levshun; Dmitry Levshun; Elena Doynikova; Alexander Branitskiy; Igor V. Kotenko (AI Commun., 2024)