QUICwand: A Machine Learning Optimization-Based Hybrid Defense Approach Against QUIC Flooding Attacks
Author:
Affiliation:
1. Concordia Institute for Information, Systems Engineering (CIISE), Concordia University,Montreal,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10539135/10539136/10539170.pdf?arnumber=10539170
Reference36 articles.
1. QUICShield: A Rapid Detection Mechanism Against QUIC-Flooding Attacks
2. An Empirical Approach to Evaluate the Resilience of QUIC Protocol Against Handshake Flood Attacks
3. A framework for classifying denial of service attacks
4. A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks
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1. QUICPro: Integrating Deep Reinforcement Learning to Defend against QUIC Handshake Flooding Attacks;Proceedings of the Applied Networking Research Workshop on zzz;2024-07-20
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