Machine learning algorithms in countering denial of service attacks
Abstract
Machine learning algorithms in countering denial of service attacks
Incoming article date: 12.03.2025The article discusses modern machine learning algorithms used to detect and prevent denial of service (DoS) attacks. The work analyzes various approaches, such as traffic classification, system behavior anomaly, and network packet analysis, which allow the authors to develop an early warning system for possible attacks. The prospects for using machine learning to provide more reliable protection for network infrastructure are also discussed based on the results of the experiments. The results of the paper are of great scientific and practical value for specialists in cybersecurity and in modeling defense systems.
Keywords: information security, denial of service, machine learning, network traffic