I. Saenko

发表

A technique for early detection of cyberattacks using the traffic self-similarity property and a statistical approach

Igor V. Kotenko, Igor Saenko, Aleksander Kribel, 2021, 2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Logical Inference Framework for Security Management in Geographical Information Systems

Igor V. Kotenko, Olga Polubelova, Igor Saenko, 2013, IF&GIS.

Genetic Optimization of Access Control Schemes in Virtual Local Area Networks

Igor V. Kotenko, Igor Saenko, Igor Kotenko, 2010, MMM-ACNS.

Creating new-generation cybersecurity monitoring and management systems

Igor Kotenko, I. Saenko, 2014, Herald of the Russian Academy of Sciences.

Combined Neural Network Model for Diagnosing Computer Incidents

Igor Kotenko, I. Saenko, V. Avramenko, 2020 .

Detection of Anomalies in the Traffic of Information and Telecommunication Networks Based on the Assessment of its Self-Similarity

Igor Saenko, Igor Kotenko, Aleksander Kribel, 2020, 2020 International Russian Automation Conference (RusAutoCon).

Ensuring the survivability of embedded computer networks based on early detection of cyber attacks by integrating fractal analysis and statistical methods

Igor Kotenko, I. Saenko, Aleksander Kribel, 2022, Microprocess. Microsystems.

An approach for selecting countermeasures against harmful information based on uncertainty management

Igor Kotenko, E. Doynikova, I. Saenko, 2022, Comput. Sci. Inf. Syst..

Analytical Modeling of Mobile Banking Attacks based on a stochastic network conversion technique

Igor Kotenko, I. Saenko, O. Lauta, 2017 .

Monitoring the State of Elements of Multi-service Communication Networks on the Basis of Fuzzy Logical Inference

Igor Kotenko, I. Saenko, 2017 .

Designing a Human-Machine Interface Based on the Cognitive Model of Information Systems Users

I. Saenko, Yury Sineshchuk, Aleksey V. Vostrykh, 2022, 2022 International Russian Automation Conference (RusAutoCon).

Model and method for diagnosing computer incidents in information and communication systems based on deep machine learning

I. Saenko, V. Avramenko, A. Malikov, 2019, Information and Control Systems.

Detection of Distributed Cyber Attacks Based on Weighted Ensembles of Classifiers and Big Data Processing Architecture

Igor Saenko, Igor Kotenko, Alexander Branitskiy, 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Applying Big Data Processing and Machine Learning Methods for Mobile Internet of Things Security Monitoring

Igor V. Kotenko, Igor Saenko, Alexander Branitskiy, 2018, J. Internet Serv. Inf. Secur..

Fuzzy Adaptive Routing in Multi-service Computer Networks under Cyber Attack Implementation

Igor Saenko, Igor Kotenko, Sergey Ageev, 2017 .

Framework for Mobile Internet of Things Security Monitoring Based on Big Data Processing and Machine Learning

Igor Kotenko, Alexander Branitskiy, Igor Saenko, 2018, IEEE Access.

Hierarchical fuzzy situational networks for online decision-making: Application to telecommunication systems

Igor Saenko, Igor Kotenko, Sergey Ageev, 2019, Knowl. Based Syst..

Applying Intelligent Agents for Anomaly Detection of Network Traffic in Internet of Things Networks

Igor V. Kotenko, Igor Saenko, Sergey Ageev, 2018, 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS).

Implementation of Intelligent Agents for Network Traffic and Security Risk Analysis in Cyber-Physical Systems

Igor Kotenko, Sergey Ageev, Igor Saenko, 2018, SIN.

Detection of traffic anomalies in multi-service networks based on a fuzzy logical inference

Igor V. Kotenko, Igor Saenko, Sergey Ageev, 2016, IDC.

Increasing the Reliability of Computer Network Protection System by Analyzing its Controllability Models

Igor Kotenko, I. Saenko, O. Lauta, 2021, 2021 International Russian Automation Conference (RusAutoCon).

NETWORK APPLICATION-LAYER PROTOCOL CLASSIFICATION BASED ON FUZZY DATA AND NEURAL NETWORK PROCESSING

Igor Saenko, Igor Kotenko, Vyacheslav Efimov, 2020 .

Applying Fuzzy Computing Methods for On-line Monitoring of New Generation Network Elements

Igor Saenko, Igor Kotenko, Sergey Ageev, 2018, Advances in Intelligent Systems and Computing.

Applying machine learning and parallel data processing for attack detection in IoT

Igor Saenko, Igor Kotenko, Alexander Branitskiy, 2021, IEEE Transactions on Emerging Topics in Computing.

Towards Resilient and Efficient Big Data Storage: Evaluating a SIEM Repository Based on HDFS

Igor Kotenko, I. Saenko, 2022, 2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

Intelligent System of Analytical Processing of Digital Network Content for Protection against Inappropriate Information

Igor Saenko, Igor Kotenko, Alexander Branitskiy, 2021, Informatics and Automation.

Improving the Performance of Manufacturing Technologies for Advanced Material Processing Using a Big Data and Machine Learning Framework

Igor Saenko, Igor Kotenko, Alexander Branitskiy, 2019, Materials Today: Proceedings.

An Approach to Detecting Cyber Attacks against Smart Power Grids Based on the Analysis of Network Traffic Self-Similarity

Igor Saenko, Igor Kotenko, Oleg Lauta, 2020, Energies.

Methods and tools of parallel event processing for creating new generation of security monitoring systems

Igor Kotenko, I. Saenko, A. V. Bashmakov, 2020 .

Modeling the Impact of Cyber Attacks

Igor Saenko, Igor Kotenko, Oleg Lauta, 2018, Cyber Resilience of Systems and Networks.

Machine Learning and Big Data Processing for Cybersecurity Data Analysis

Igor Saenko, Igor Kotenko, Alexander Branitskiy, 2020, Data Science in Cybersecurity and Cyberthreat Intelligence.

Parallel big data processing system for security monitoring in Internet of Things networks

Igor V. Kotenko, Igor Saenko, Alexey Kushnerevich, 2017, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

Protection Against Information in eSociety: Using Data Mining Methods to Counteract Unwanted and Malicious Data

Andrey Chechulin, Igor Saenko, Igor Kotenko, 2017 .

Design and Implementation of a Hybrid Ontological-Relational Data Repository for SIEM Systems

Igor V. Kotenko, Andrey Chechulin, Olga Polubelova, 2013, Future Internet.

Evolutionary Algorithms for Design of Virtual Private Networks

Igor V. Kotenko, Igor Saenko, Igor Kotenko, 2018, IDC.

Ensuring SDN Resilience under the Influence of Cyber Attacks: Combining Methods of Topological Transformation of Stochastic Networks, Markov Processes, and Neural Networks

Igor Kotenko, I. Saenko, O. Lauta, 2023, Big Data Cogn. Comput..

The Ontological Approach for SIEM Data Repository Implementation

Igor V. Kotenko, Olga Polubelova, Igor Saenko, 2012, 2012 IEEE International Conference on Green Computing and Communications.

Using Genetic Algorithms for Design and Reconfiguration of RBAC Schemes

Igor V. Kotenko, Igor Saenko, Igor Kotenko, 2016, PrAISe@ECAI.

Anomaly and Cyber Attack Detection Technique Based on the Integration of Fractal Analysis and Machine Learning Methods

Igor Kotenko, I. Saenko, O. Lauta, 2022, Informatics and Automation.