Nataliia Petliak

According to our database, Nataliia Petliak authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Detection of multi-vector attacks in IoT networks: a graph attention network-based approach.

Mykola Stetsiuk, Yurii Klots, Dmytro Tymoshchuk, Mikolaj P. Karpinski, Nataliia Petliak

Proceedings of the 5th International Conference on Information Technologies: Theoretical and Applied Problems 2025, 2025

An explainable artificial intelligence approach for detecting network attacks.

Dmytro Tymoshchuk, Andriy Sverstiuk, Yurii Klots, Nataliia Petliak, Vira Titova

Proceedings of the 1st Workshop on Advanced AI in Explainability and Ethics for the Sustainable Development Goals (ExplAI-2025), 2025

Intelligent data monitoring anomaly detection system based on statistical and machine learning approaches.

Yurii Klots, Vira Titova, Nataliia Petliak, Dmytro Tymoshchuk, Nataliya Zagorodna

Proceedings of the Cyber Security and Data Protection, 2025

Hybrid system for detecting abnormal trauic in IoT.

Nataliia Petliak, Yurii Klots, Mikolaj Karpinski, Vira Titova, Dmytro Tymoshchuk

Proceedings of the 3rd International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2025), 2025

Routing attacks detection in IoT networks using LSTM autoencoder.

Nataliia Petliak, Yurii Klots, Dmytro Tymoshchuk, Mikolaj Karpinski, Vira Titova

Proceedings of the 2nd International Workshop on Bioinformatics and Applied Information Technologies for medical purpose (BAITmp 2025), 2025

AutoML and explainable AI-based approach to enhance the efficiency and interpretability of IDS.

Dmytro Tymoshchuk, Nataliya Zagorodna, Yurii Klots, Vasyl Yatskiv, Nataliia Petliak

Proceedings of the The 2nd International Workshop on Advanced Applied Information Technologies: AI & DSS, 2025

2024

Explainable Deep Learning for Interpretable Brain Tumor Diagnosis from MRI Images.

Eduard Manziuk, Olexander Barmak, Iurii Krak, Nataliia Petliak, Zhenzhen Jin, Pavlo Radiuk

Proceedings of the Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1, 2024

Detection of network attacks in cyber-physical systems using a rule-based logical neural network.

Vira Titova, Yurii Klots, Viktor Cheshun, Nataliia Petliak, Abdel-Badeeh M. Salem

Proceedings of the 1st International Workshop on Intelligent & CyberPhysical Systems (ICyberPhyS 2024), 2024

Machine Learning system for detecting malicious traffic generated by IoT devices.

Yurii Klots, Nataliia Petliak, Serhii Martsenko, Vitaliy Tymoshchuk, Ievgen Bondarenko

Proceedings of the 2nd International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2024), 2024

Attack detection system based on network traffic analysis by means of fuzzy inference.

Nataliia Petliak, Yurii Klots, Vira Titova, Abdel-Badeeh M. Salem

Proceedings of the 1st International Workshop on Advanced Applied Information Technologies with CEUR-WS, 2024

2023

Signature-based approach to detecting malicious outgoing traffic.

Nataliia Petliak, Yurii Klots, Vira Titova, Viktor Cheshun, Artem Boyarchuk

Proceedings of the 4th International Workshop on Intelligent Information Technologies & Systems of Information Security, 2023

Evaluation of the efficiency of the system for detecting malicious outgoing traffic in public networks.

Yurii Klots, Nataliia Petliak, Vira Titova

Proceedings of the 13th International Conference on Dependable Systems, 2023

2022

Research of the Neural Network Module for Detecting Anomalies in Network Traffic.

Yurii Klots, Vira Titova, Nataliia Petliak, Viktor Cheshun, Abdel-Badeeh M. Salem

Proceedings of the 3rd International Workshop on Intelligent Information Technologies & Systems of Information Security, 2022