ERM: An Accurate Approach to Detect DDoS Attacks Using Entropy Rate Measurement
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/8863555/08779664.pdf?arnumber=8779664
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1. Enhancing Network Security in SDN: Detecting Low-Rate DDoS Attacks Using Decision Trees;2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2024-04-27
2. AF-FDS: An Accurate, Fast, and Fine-Grained Detection Scheme for DDoS Attacks in High-Speed Networks With Asymmetric Routing;IEEE Transactions on Network and Service Management;2023-12
3. Performance analysis of entropy variation-based detection of DDoS attacks in IoT;Internet of Things;2023-10
4. A comprehensive survey on low-rate and high-rate DDoS defense approaches in SDN: taxonomy, research challenges, and opportunities;Multimedia Tools and Applications;2023-09-29
5. Smart contract based DDoS attack traceability audit mechanism in intelligent IoT;China Communications;2023-08
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