Efficient detection of DDoS attacks with important attributes
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4733895/4757450/04757464.pdf?arnumber=4757464
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Towards real-time ML-based DDoS detection via cost-efficient window-based feature extraction;Science China Information Sciences;2023-04-17
2. Detecting DDoS Attacks in SDN using a Hybrid Method with Entropy and Machine Learning;2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW);2022-11
3. Performance evaluation of machine learning models for distributed denial of service attack detection using improved feature selection and hyper‐parameter optimization techniques;Concurrency and Computation: Practice and Experience;2022-08-29
4. MAD-SE: ADAPTIVE THRESHOLD-BASED STACK ENSEMBLE APPROACH FOR THE DETECTION OF DDOS ATTACK IN CLOUD;SURANAREE J SCI TECH;2022
5. Leveraging Machine Learning and SDN-Fog Infrastructure to Mitigate Flood Attacks;2021 IEEE Globecom Workshops (GC Wkshps);2021-12
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