RESEARCH, TEACHING, or OTHER INTERESTS
Information Systems
Scopus Publications
- Attack detection system based on network traffic analysis by means of fuzzy inference✶
Ceur Workshop Proceedings, 2025 - Expert access control system for access management in a smart home system
Ceur Workshop Proceedings, 2025 - An explainable artificial intelligence approach for detecting network attacks
Ceur Workshop Proceedings, 2025 - Routing attacks detection in IoT networks using LSTM autoencoder
Ceur Workshop Proceedings, 2025 - Intelligent data monitoring anomaly detection system based on statistical and machine learning approaches
Ceur Workshop Proceedings, 2025 - Hybrid system for detecting abnormal traffic in IoT
Ceur Workshop Proceedings, 2025 - Detection of network attacks in cyber-physical systems using a rule-based logical neural network
Ceur Workshop Proceedings, 2024 - Evaluation of the efficiency of the system for detecting malicious outgoing traffic in public networks
Yurii Klots, Nataliia Petliak, Vira Titova
2023 13th International Conference on Dependable Systems Services and Technologies Dessert 2023, 2023
Detecting malicious outgoing traffic is an urgent task being addressed in both public and private sectors, across corporate and public networks. There are different ways to detect malicious traffic. Each of the methods has its advantages and disadvantages. The article’s authors proposed a method of detecting malicious outgoing traffic based on a fuzzy logical conclusion. Its use makes it possible to increase the efficiency of combating malicious traffic in public networks.The article also offers quality metrics for evaluating the intruder detection system implemented on the basis of the specified method. With the help of the selected metrics, the developed system can be compared both with other software tools for detecting malicious traffic in networks and with its own modifications. - Signature-based Approach to Detecting Malicious Outgoing Traffic
Ceur Workshop Proceedings, 2023 - Research of the Neural Network Module for Detecting Anomalies in Network Traffic
Ceur Workshop Proceedings, 2022
