Dmytro Tymoshchuk

Trip-End Battery State of Charge Prediction for Electric Vehicles Using a Physics-Constrained Machine Learning Stacking Ensemble

This study proposes an approach for predicting the state of charge (SoC) of an electric vehicle battery at the end of an individual operational interval using parameters available before the start of the trip. The input features included the initial SoC, trip distance, and ambient temperature. The driving range estimat...

Modern Approaches to Detecting Cyberattacks in Software-Defined Networks

The rapid deployment of software-defined networks provides high flexibility and scalability of network infrastructures, but at the same time creates new challenges for cybersecurity due to the centralization of control logic. The paper provides a comprehensive analysis of modern approaches to detecting cyberattacks in...

Hybrid Deep Learning Model for Rumor Detection in Social Media

This paper presents a hybrid deep learning approach for rumor detection in social media that combines transformer-based text representation with graph-based modeling of information propagation. The proposed method integrates a Bidirectional Encoder Representations from Transformers model for extracting semantic feature...

Adaptive fuzzy model for anomaly detection in iot network traffic

A cryptographically verified approach to secure Docker container updates in CI/CD pipelines

A secure CI/CD update workflow that combines keyless Cosign signing (OIDC/Fulcio), immutable SHA-256 digest–based image addressing, mandatory pre-deployment signature verification, and freshness controls against rollback attacks is presented, while permitting controlled rollback only to previously verified versions.