Real-Time Detection of DDoS Attacks Based on Random Forest in SDN

Real-Time Detection of DDoS Attacks Based on Random Forest in SDN

With the development of the Internet of Things, a huge number of devices are connected to the network, network traffic is exhibiting massive and low latency characteristics. At the same time, it is becoming cheaper and cheaper to launch DDoS attacks, and the attack traffic is becoming larger and lar...

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Bibliographic Details
Main Authors: Ruikui Ma, Qiuqian Wang, Xiangxi Bu, Xuebin Chen
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
SDN
DDoS attacks
machine learning
edge computing
distributed computing
network security
Online Access:https://www.mdpi.com/2076-3417/13/13/7872

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