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 […]