| 2025 | PDP | A Noise-Based Approach Augmented with Neural Cleanse and JPEG Compression to Counter Adversarial Attacks on Image Classification Systems. | Igor V. Kotenko, Igor Saenko, Oleg Lauta, Nikita Vasiliev, Vladimir Sadovnikov |
| 2023 | IDC | Towards Application of the Tabular Data Transformation to Images in the Intrusion Detection Tasks Using Deep Learning Techniques. | Evgenia Novikova, Marat Bukhtiarov, Igor V. Kotenko, Elena Fedorchenko, Igor Saenko |
| 2022 | IDC | Applying Machine Learning Methods to Detect Abnormal User Behavior in a University Data Center. | Igor V. Kotenko, Igor Saenko |
| 2022 | PDP | Towards Resilient and Efficient Big Data Storage: Evaluating a SIEM Repository Based on HDFS. | Igor Saenko, Igor V. Kotenko |
| 2021 | IDC | An Approach to the Synthesis of a Neural Network System for Diagnosing Computer Incidents. | Igor V. Kotenko, Vladimir Avramenko, Albert Malikov, Igor Saenko |
| 2021 | PDP | A technique for early detection of cyberattacks using the traffic self-similarity property and a statistical approach. | Igor V. Kotenko, Igor Saenko, Aleksander Kribel, Oleg Lauta |
| 2021 | SIN | Situational Control of a Computer Network Security System in Conditions of Cyber Attacks. | Igor V. Kotenko, Igor Saenko, Oleg Lauta, Mikhail Karpov |
| 2021 | SoMeT | LSTM Neural Networks for Detecting Anomalies Caused by Web Application Cyber Attacks. | Igor V. Kotenko, Oleg Lauta, Kseniya Kribel, Igor Saenko |
| 2020 | INISTA | Selection of Countermeasures against Harmful Information based on the Assessment of Semantic Content of Information Objects in the Conditions of Uncertainty. | Igor B. Parashchuk, Elena Doynikova, Igor Saenko, Igor V. Kotenko |
| 2020 | NOMS | Graph-based evaluation of probability of disclosing the network structure by targeted attacks. | Andrei Privalov, Ekaterina Skudneva, Igor V. Kotenko, Igor Saenko |
| 2020 | PDP | Optimizing Secure Information Interaction in Distributed Computing Systems by the Sequential Concessions Method. | Igor V. Kotenko, Yury Sineshchuk, Igor Saenko |
| 2020 | SIN | Intelligent support for network administrator decisions based on combined neural networks. | Igor V. Kotenko, Igor Saenko, Fadey Skorik |
| 2019 | GECCO | A role-base approach and a genetic algorithm for VLAN design in large critical infrastructures. | Igor Saenko, Igor V. Kotenko |
| 2019 | IDC | An Approach to Creating an Intelligent System for Detecting and Countering Inappropriate Information on the Internet. | Lidiya Vitkova, Igor Saenko, Olga Tushkanova |
| 2019 | PDP | Access Control Visualization Using Triangular Matrices. | Maxim Kolomeets, Andrey Chechulin, Igor V. Kotenko, Igor Saenko |
| 2019 | PDP | Attack Detection in IoT Critical Infrastructures: A Machine Learning and Big Data Processing Approach. | Igor V. Kotenko, Igor Saenko, Alexey Kushnerevich, Alexander Branitskiy |
| 2019 | SIN | Optimization of the cyber security system structure based on accounting of the prevented damage cost. | Igor V. Kotenko, Igor Saenko, Yury Sineshchuk, Valery Kuvatov, Oleg Chudakov |
| 2019 | SoMeT | An Approach for Intelligent Evaluation of the State of Complex Autonomous Objects Based on the Wavelet Analysis. | Igor V. Kotenko, Pavel Budko, Alexey Vinogradenko, Igor Saenko |
| 2018 | GECCO | Genetic algorithms for role mining in critical infrastructure data spaces. | Igor Saenko, Igor V. Kotenko |
| 2018 | IDC | Evolutionary Algorithms for Design of Virtual Private Networks. | Igor V. Kotenko, Igor Saenko |
| 2018 | PDP | Parallelization of Security Event Correlation Based on Accounting of Event Type Links. | Igor V. Kotenko, Andrey Fedorchenko, Igor Saenko, Alexey Kushnerevich |
| 2018 | SIN | Implementation of Intelligent Agents for Network Traffic and Security Risk Analysis in Cyber-Physical Systems. | Igor V. Kotenko, Sergey Ageev, Igor Saenko |
| 2018 | SoMeT | Hierarchical Fuzzy Situational Networks for Online Decision Support in Distributed Cyber-Physical Systems. | Igor V. Kotenko, Igor Saenko, Sergey Ageev |
| 2017 | GECCO | Administrating role-based access control by genetic algorithms. | Igor Saenko, Igor V. Kotenko |
| 2017 | PDP | Parallel Processing of Big Heterogeneous Data for Security Monitoring of IoT Networks. | Igor Saenko, Igor V. Kotenko, Alexey Kushnerevich |
| 2016 | ECAI | Using Genetic Algorithms for Design and Reconfiguration of RBAC Schemes. | Igor Saenko, Igor V. Kotenko |
| 2016 | IDC | Detection of traffic anomalies in multi-service networks based on a fuzzy logical inference. | Igor Saenko, Sergey Ageev, Igor V. Kotenko |
| 2016 | IDC | Reconfiguration of RBAC schemes by genetic algorithms. | Igor Saenko, Igor V. Kotenko |
| 2016 | ISNN | Application of Hybrid Neural Networks for Monitoring and Forecasting Computer Networks States. | Igor Saenko, Fadey Skorik, Igor V. Kotenko |
| 2016 | UIC | An Approach to Aggregation of Security Events in Internet-of-Things Networks Based on Genetic Optimization. | Igor V. Kotenko, Igor Saenko |
| 2015 | IDC | Reconfiguration of Access Schemes in Virtual Networks of the Internet of Things by Genetic Algorithms. | Igor Saenko, Igor V. Kotenko |
| 2015 | TrustCom | Countermeasure Security Risks Management in the Internet of Things Based on Fuzzy Logic Inference. | Igor V. Kotenko, Igor Saenko, Sergey Ageev |
| 2014 | IDC | A Genetic Approach for Virtual Computer Network Design. | Igor Saenko, Igor V. Kotenko |
| 2012 | PDP | Design and Performance Evaluation of Improved Genetic Algorithm for Role Mining Problem. | Igor Saenko, Igor V. Kotenko |
| 2012 | SECRYPT | Data Repository for Security Information and Event Management in Service Infrastructures. | Igor V. Kotenko, Olga Polubelova, Igor Saenko |
| 2011 | PDP | Genetic Algorithms for Role Mining Problem. | Igor Saenko, Igor V. Kotenko |