Advanced Hybrid Anomaly Detection and Mitigation Framework for Slow HTTP DDoS Attacks

Abstract

This study investigates the Adaptive Hybrid Anomaly Detection and Mitigation (AHADM) framework’s effectiveness against slow HTTP DDoS attacks. Comparing it to established methods, the research highlights AHADM’s superior ability to swiftly detect and neutralize these elusive threats. By using adaptive algorithms and sophisticated anomaly detection mechanisms, AHADM outperforms existing solutions, offering robust defense against evolving cyber threats. The study also provides valuable insights into attack characteristics and practical implementation guidelines, contributing significantly to network security literature. AHADM emerges as a proactive defense strategy, mitigating risks posed by slow HTTP DDoS attacks in modern network environments.