Application of a Technique for Secure Embedded Device Design Based on Combining Security Components for Creation of a Perimeter Protection System. - Vasily Desnitsky; Andrey Chechulin; Igor V. Kotenko; Dmitry Levshun; Maxim Kolomeec (PDP, 2016)

Design Technique for Secure Embedded Devices: Application for Creation of Integrated Cyber-Physical Security System. - Vasily Desnitsky; Dmitry Levshun; Andrey Chechulin; Igor V. Kotenko (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2016)

Design lifecycle for secure cyber-physical systems based on embedded devices. - Dmitry Levshun; Andrey Chechulin; Igor V. Kotenko (IDAACS, 2017)

Method for Predicting Pixel Values in Background Areas in the Problem of Weighted Steganalysis in the Spatial Domain of Natural Images Under Small Payloads. - Daniil A. Bashmakov; Anatoliy G. Korobeynikov; Alexey V. Sivachev; Didier El Baz; Dmitry Levshun (MobiSec, 2017)

A technique for design of secure data transfer environment: Application for I2C protocol. - Dmitry Levshun; Andrey Chechulin; Igor V. Kotenko (ICPS, 2018)

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)

The Integrated Model of Secure Cyber-Physical Systems for Their Design and Verification. - Dmitry Levshun; Igor V. Kotenko; Andrey Chechulin (IDC, 2019)

Analysis of Attack Actions on the Railway Infrastructure Based on the Integrated Model. - Dmitry Levshun; Yurii Bakhtin; Andrey Chechulin; Igor V. Kotenko (MobiSec, 2019)

Design and Verification Methodology for Secure and Distributed Cyber-Physical Systems. - Dmitry Levshun; Andrey Chechulin; Igor V. Kotenko; Yannick Chevalier (NTMS, 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)

SEPAD - Security Evaluation Platform for Autonomous Driving. - Daniel Zelle; Roland Rieke; Christian Plappert; Christoph Krauß; Dmitry Levshun; Andrey Chechulin (PDP, 2020)

Social networks bot detection using Benford's law. - Maksim Kalameyets; Dmitry Levshun; Sergei Soloviev 001; Andrey Chechulin; Igor V. Kotenko (SIN, 2020)

Design and verification of a mobile robot based on the integrated model of cyber-Physical systems. - Dmitry Levshun; Yannick Chevalier; Igor V. Kotenko; Andrey Chechulin (Simul. Model. Pract. Theory, 2020)

Security Measuring System for IoT Devices. - Elena Doynikova; Evgenia Novikova; Ivan Murenin; Maxim Kolomeec; Diana Gaifulina; Olga Tushkanova; Dmitry Levshun; Alexey Meleshko; Igor V. Kotenko (CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS, 2021)

A Technique for the Design of Abstract Models of Microcontroller-Based Physical Security Systems. - Dmitry Levshun; Andrey Chechulin; Igor V. Kotenko (IDC, 2021)

Classification and Analysis of Vulnerabilities in Mobile Device Infrastructure Interfaces. - Konstantin E. Izrailov; Dmitry Levshun; Igor V. Kotenko; Andrey Chechulin (MobiSec, 2021)

Camouflaged bot detection using the friend list. - Maxim Kolomeets; Olga Tushkanova; Dmitry Levshun; Andrey Chechulin (PDP, 2021)

Design of Secure Microcontroller-Based Systems: Application to Mobile Robots for Perimeter Monitoring. - Dmitry Levshun; Andrey Chechulin; Igor V. Kotenko (Sensors, 2021)

Models, algorithms and methodology for design of microcontroller-based physical security systems protected from cyber-physical attacks. (Modèles algorithmes et méthodologie pour la conception de systèmes de sécurité physique basés sur des microcontrôleurs protégés des attaques cyber-physiques). - Dmitry Levshun (2021)

The application of the methodology for secure cyber-physical systems design to improve the semi-natural model of the railway infrastructure. - Dmitry Levshun; Igor V. Kotenko; Andrey Chechulin (Microprocess. Microsystems, 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)

Active learning approach for inappropriate information classification in social networks. - Dmitry Levshun; Olga Tushkanova; Andrey Chechulin (PDP, 2022)

Security and Privacy Analysis of Smartphone-Based Driver Monitoring Systems from the Developer's Point of View. - Dmitry Levshun; Andrey Chechulin; Igor V. Kotenko (Sensors, 2022)

Vulnerability Categorization for Fast Multistep Attack Modelling. - Dmitry Levshun; Andrey Chechulin (FRUCT, 2023)

Comparative Analysis of Machine Learning Methods in Vulnerability Categories Prediction Based on Configuration Similarity. - Dmitry Levshun (IDC, 2023)

Trademark Similarity Evaluation Using a Combination of ViT and Local Features. - Dmitry Vesnin; Dmitry Levshun; Andrey Chechulin (Inf., 2023)

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)

Two-model active learning approach for inappropriate information classification in social networks. - Dmitry Levshun; Olga Tushkanova; Andrey Chechulin (Int. J. Inf. Sec., 2023)

Selection of Machine Learning Methods for Keylogger Detection Based on Network Activity. - Dmitry Levshun; Diana Levshun (COMSNETS, 2024)

Exploring BERT for Predicting Vulnerability Categories in Device Configurations. - Dmitry Levshun; Dmitry Vesnin (ICISSP, 2024)

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)

Detecting AutoEncoder is Enough to Catch LDM Generated Images. - Dmitry Vesnin; Dmitry Levshun; Andrey Chechulin (CoRR, 2024)

Exploring Efficiency of Machine Learning in Profiling of Internet of Things Devices for Malicious Activity Detection. - Daniil Legkodymov; Dmitry Levshun (ICISSP (2), 2025)

LLMSecurityTester: A Tool for Detection of Vulnerabilities in LLM-based Chatbots. - Vladimir Lavrentiev; Dmitry Levshun (PDP, 2025)

Detection of Anomalous Cryptocurrency Transactions Using Neural Networks with Decision-making Explanation. - Dmitry Levshun; Ksenia Zhernova; Andrey Chechulin (PDP, 2025)

ForecaState: Framework for industrial Internet of Things state forecasting using recurrent neural networks with hyperparameters optimization. - Diana Levshun; Dmitry Levshun; Igor V. Kotenko (Eng. Appl. Artif. Intell., 2025)

Next-generation IIoT security: Comprehensive comparative analysis of CNN-based approaches. - Huiyao Dong; Igor V. Kotenko; Dmitry Levshun (Knowl. Based Syst., 2025)