IoT Flooding Attack Defense in SDN: A Real-Data Machine Learning Approach
Author:
Affiliation:
1. Southern Brittany University,Department of Sciences and Engineering Sciences (SSI),Lorient,France
2. ENASTIC, National Superior School of TIC,N'Djaména,Tchad
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10467180/10467225/10467864.pdf?arnumber=10467864
Reference20 articles.
1. Performance evaluation of software defined networking based on openflow protocol
2. On the Performance of SDN Controllers in Real World Topologies
3. ARDefense: DDoS detection and prevention using NFV and SDN
4. MCAD: A Machine Learning Based Cyberattacks Detector in Software-Defined Networking (SDN) for Healthcare Systems
5. SDN Architecture to prevent attacks with OpenFlow
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