IDENTIFYING CYBER THREATS in AVIATION SYSTEMS using MACHINE LEARNING METHODS
Abstract. The aim of the study is to develop and evaluate machine learning models for detecting cyber threats in aviation communication and navigation systems. Modern aviation infrastructures, including ADS-B and ACARS protocols, are vulnerable to attacks such as GPS spoofing, DoS, and false message injection. The study uses a combined dataset of 50,000 records, of […]
ANALYSING AND PREDICTING WEATHER CONDITIONS FOR PLANNING FLIGHTS OF UNMANNED AERIAL VEHICLES USING BIG DATA
Abstract. In modern applications, Unmanned Aerial Vehicles (UAVs) are widely used in various industries such as logistics, agriculture, environmental monitoring, and emergency services. However, their operation is highly dependent on weather conditions, including wind speed, temperature, precipitation, and atmospheric pressure. The unpredictability of meteorological factors poses significant risks to the safety and efficiency of UAV […]