Blind 384-bit Digital Signature Scheme. - Alexander A. Moldovyan; Nikolay A. Moldovyan; Evgenia Novikova (MMM-ACNS, 2012)

Attack Modelling and Security Evaluation for Security Information and Event Management. - Igor V. Kotenko; Andrey Chechulin; Evgenia Novikova (SECRYPT, 2012)

VisSecAnalyzer: A Visual Analytics Tool for Network Security Assessment. - Igor V. Kotenko; Evgenia Novikova (CD-ARES Workshops, 2013)

Dynamical Attack Simulation for Security Information and Event Management. - Igor V. Kotenko; Andrey Shorov; Andrey Chechulin; Evgenia Novikova (IF&GIS, 2013)

Simulation of Protection Mechanisms Based on "Nervous Network System" against Infrastructure Attacks. - Igor V. Kotenko; Andrey Shorov; Evgenia Novikova (PDP, 2013)

Analytical Visualization Techniques for Security Information and Event Management. - Evgenia Novikova; Igor V. Kotenko (PDP, 2013)

Visualization of Security Metrics for Cyber Situation Awareness. - Igor V. Kotenko; Evgenia Novikova (ARES, 2014)

Visual Analytics for Detecting Anomalous Activity in Mobile Money Transfer Services. - Evgenia Novikova; Igor V. Kotenko (CD-ARES, 2014)

Interactive Multi-View Visualization for Fraud Detection in Mobile Money Transfer Services. - Evgenia Novikova; Igor V. Kotenko; Evgenii Fedotov (Int. J. Mob. Comput. Multim. Commun., 2014)

DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques. - Konstantin Borisenko; Andrey Smirnov; Evgenia Novikova; Andrey Shorov (ICDM, 2016)

Visualization-Driven Approach to Anomaly Detection in the Movement of Critical Infrastructure. - Evgenia Novikova; Ivan Murenin (MMM-ACNS, 2017)

The Motif-Based Approach to the Analysis of the Employee Trajectories within Organization. - Evgenia Novikova; Yana A. Bekeneva; Andrey Shorov (Secur. Commun. Networks, 2018)

Anomaly Detection in the HVAC System Operation by a RadViz Based Visualization-Driven Approach. - Evgenia Novikova; Mikhail Bestuzhev; Igor V. Kotenko (CyberICPS/SECPRE/SPOSE/ADIoT@ESORICS, 2019)

The Visualization-Driven Approach to the Analysis of the HVAC Data. - Evgenia Novikova; Mikhail Bestuzhev; Andrey Shorov (IDC, 2019)

An Approach to the Analysis of the Vehicle Movement on the Organization Territory. - Evgenia Novikova; Yana A. Bekeneva; Andrey Shorov (NEW2AN, 2019)

The Location-Centric Approach to Employee's Interaction Pattern Detection. - Evgenia Novikova; Yana A. Bekeneva; Andrey Shorov (PDP, 2019)

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

P2Onto: Making Privacy Policies Transparent. - Evgenia Novikova; Elena Doynikova; Igor V. Kotenko (CyberICPS/SECPRE/ADIoT@ESORICS, 2020)

Exploration of the Anomalies in HVAC Data Using Image Similarity Assessment. - Evgenia Novikova; Mikhail Bestuzhev (MECO, 2020)

Data Mining Algorithms Parallelization in the Framework of Agent-Oriented Programming. - Aleksey Malov; Ivan Kholod; Sergey Rodionov; Evgenia Novikova (NEW2AN/ruSMART, 2020)

Explaining Android Application Authorship Attribution Based on Source Code Analysis. - Ivan Murenin; Evgenia Novikova; Roman Ushakov; Ivan Kholod (NEW2AN/ruSMART, 2020)

Attacker Behaviour Forecasting Using Methods of Intelligent Data Analysis: A Comparative Review and Prospects. - Elena Doynikova; Evgenia Novikova; Igor V. Kotenko (Inf., 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)

CPE and CVE based Technique for Software Security Risk Assessment. - Roman Ushakov; Elena Doynikova; Evgenia Novikova; Igor V. Kotenko (IDAACS, 2021)

Approach to Anomaly Detection in Cyber-Physical Object Behavior. - Anton Shulepov; Evgenia Novikova; Ivan Murenin (IDC, 2021)

Towards application of text mining techniques to the analysis of the privacy policies. - Mikhail Kuznetzov; Evgenia Novikova (MECO, 2021)

Combined Approach to Anomaly Detection in Wireless Sensor Networks on Example of Water Management System. - Alexey Meleshko; Vasily Desnitsky; Igor V. Kotenko; Evgenia Novikova; Anton Shulepov (MECO, 2021)

Open-Source Federated Learning Frameworks for IoT: A Comparative Review and Analysis. - Ivan Kholod; Evgeny Yanaki; Dmitry Fomichev; Evgeniy Shalugin; Evgenia Novikova; Evgeny Filippov; Mats Nordlund (Sensors, 2021)

Mapping the Security Events to the MITRE ATT &CK Attack Patterns to Forecast Attack Propagation (Extended Abstract). - Roman Kryukov; Vladimir Zima; Elena Fedorchenko; Evgenia Novikova; Igor V. Kotenko (ADIoT, 2022)

Image-Based Intrusion Detection in Network Traffic. - Sergey Golubev; Evgenia Novikova (IDC, 2022)

An approach to formal desription of the user notification scenarios in privacy policies. - Mikhail Kuznetsov; Evgenia Novikova; Igor V. Kotenko (PDP, 2022)

Comparative Review of the Intrusion Detection Systems Based on Federated Learning: Advantages and Open Challenges. - Elena Fedorchenko; Evgenia Novikova; Anton Shulepov (Algorithms, 2022)

Federated Learning for Intrusion Detection in the Critical Infrastructures: Vertically Partitioned Data Use Case. - Evgenia Novikova; Elena Doynikova; Sergey Golubev (Algorithms, 2022)

Image-Based Approach to Intrusion Detection in Cyber-Physical Objects. - Sergey Golubev; Evgenia Novikova; Elena Fedorchenko (Inf., 2022)

Privacy Policies of IoT Devices: Collection and Analysis. - Mikhail Kuznetsov; Evgenia Novikova; Igor V. Kotenko; Elena Doynikova (Sensors, 2022)

Analysis of Privacy-Enhancing Technologies in Open-Source Federated Learning Frameworks for Driver Activity Recognition. - Evgenia Novikova; Dmitry Fomichov; Ivan Kholod; Evgeny Filippov (Sensors, 2022)

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 001 (IDC, 2023)

Defect Detection in Industrial IoT-based Machines: Case of Small Training Dataset. - Igor V. Kotenko; Vasily Desnitsky; Evgenia Novikova (IoTaIS, 2023)

An Analytical Review of the Source Code Models for Exploit Analysis. - Elena Fedorchenko; Evgenia Novikova; Andrey Fedorchenko; Sergey Verevkin (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)

Cyber Attacker Profiling for Risk Analysis Based on Machine Learning. - Igor V. Kotenko; Elena Fedorchenko; Evgenia Novikova; Ashish Jha (Sensors, 2023)

Automated Assessment of the Exploits Using Deep Learning Methods. - Elena Fedorchenko; Nikita Busko; Evgenia Novikova (CRiSIS, 2024)

Dataset Generation Methodology: Towards Application of Machine Learning in Industrial Water Treatment Security. - Evgenia Novikova; Elena Fedorchenko; Alexandr Danilov; Igor Saenko 001 (SN Comput. Sci., 2024)

Modelling user notification scenarios in privacy policies. - Mikhail Kuznetsov; Evgenia Novikova; Igor V. Kotenko (Cybersecur., 2024)

What are your privacy risks? Privacy risk assessment based on privacy policies analysis. - Evgenia Novikova; Elena Doynikova; Igor V. Kotenko (Expert Syst. Appl., 2025)