A Dynamic Framework for Real-Time DoS Attack Detection Using AI-Powered Anomaly Analysis
H L Nethra, Shashikala B Thakur, L Srikumar, G Varshitha, M C Yashaswini · International Journal of Research Publication and Reviews · 2024
The increasing dependency on digital networks has heightened the need for robust cybersecurity measures, especially to counter Distributed Denial-of-Service (DDoS) attacks.These cyber threats disrupt networks by overwhelming them with excessive traffic, leading to downtime and significant economic and reputational losses.This paper explores advancements in DDoS detection methodologies, including conventional techniques, machine learning models, and hybrid approaches.By assessing their capabilities and limitations, the study highlights opportunities for enhancing detection frameworks.This review seeks to provide insights into the current landscape of DDoS detection and propose avenues for future research.