Network Protocols Determination Based on Raw Data Analysis for Security Assesment under Uncertainty. - Diana Gaifulina; Andrey Fedorchenko; Igor V. Kotenko (IDAACS, 2019)

Development of the Complex Algorithm for Web Pages Classification to Detection Inappropriate Information on the Internet. - Diana Gaifulina; Andrey Chechulin (IDC, 2019)

Towards Attacker Attribution for Risk Analysis. - Elena Doynikova; Evgenia Novikova; Diana Gaifulina; Igor V. Kotenko (CRiSIS, 2020)

Augmented reality for visualizing security data for cybernetic and cyberphysical systems. - Maxim Kolomeets; Andrey Chechulin; Ksenia Zhernova; Igor V. Kotenko; Diana Gaifulina (PDP, 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)

Selection of Deep Neural Network Models for IoT Anomaly Detection Experiments. - Diana Gaifulina; Igor V. Kotenko (PDP, 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)

Systematic Literature Review of Security Event Correlation Methods. - Igor V. Kotenko; Diana Gaifulina; Igor Zelichenok (IEEE Access, 2022)

A survey on artificial intelligence techniques for security event correlation: models, challenges, and opportunities. - Diana Levshun; Igor V. Kotenko (Artif. Intell. Rev., 2023)

Anomaly Detection in IoT Networks Based on Intelligent Security Event Correlation. - Igor V. Kotenko; Diana Levshun (COMSNETS, 2024)

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

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)