DDoS Attack Detection and Mitigation at SDN Data Plane Layer

2020 ◽  
Author(s):  
Huda Saleh Abdulkarem ◽  
Ammar Dawod
Keyword(s):  
Plane Layer ◽  
Attack Detection ◽  
Ddos Attack ◽  
Data Plane ◽  
Ddos Attack Detection

Network Traffic Analysis for DDOS Attack Detection

2020 ◽  
Author(s):  
Atheer Alharthi ◽  
Ala Eshmawi ◽  
Azzah Kabbas ◽  
Lobna Hsairi
Keyword(s):  
Network Traffic ◽  
Traffic Analysis ◽  
Attack Detection ◽  
Network Traffic Analysis ◽  
Ddos Attack ◽  
Ddos Attack Detection

scholarly journals A Deep Learning Approach Combining Autoencoder with One-class SVM for DDoS Attack Detection in SDNs

2020 ◽  
Author(s):  
Lotfi Mhamdi ◽  
Desmond McLernon ◽  
Fadi El-moussa ◽  
Syed Ali Raza Zaidi ◽  
Mounir Ghogho ◽  
...  
Keyword(s):  
Deep Learning ◽  
Attack Detection ◽  
Learning Approach ◽  
Ddos Attack ◽  
Ddos Attack Detection

scholarly journals A cooperative DDoS attack detection scheme based on entropy and ensemble learning in SDN

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Shanshan Yu ◽  
Jicheng Zhang ◽  
Ju Liu ◽  
Xiaoqing Zhang ◽  
Yafeng Li ◽  
...  
Keyword(s):  
Ensemble Learning ◽  
Denial Of Service ◽  
Attack Detection ◽  
Coarse Grained ◽  
Communication Overhead ◽  
Detection Scheme ◽  
Fine Grained ◽  
Ddos Attack ◽  
Network Status ◽  
Ddos Attack Detection

AbstractIn order to solve the problem of distributed denial of service (DDoS) attack detection in software-defined network, we proposed a cooperative DDoS attack detection scheme based on entropy and ensemble learning. This method sets up a coarse-grained preliminary detection module based on entropy in the edge switch to monitor the network status in real time and report to the controller if any abnormality is found. Simultaneously, a fine-grained precise attack detection module is designed in the controller, and a ensemble learning-based algorithm is utilized to further identify abnormal traffic accurately. In this framework, the idle computing capability of edge switches is fully utilized with the design idea of edge computing to offload part of the detection task from the control plane to the data plane innovatively. Simulation results of two common DDoS attack methods, ICMP and SYN, show that the system can effectively detect DDoS attacks and greatly reduce the southbound communication overhead and the burden of the controller as well as the detection delay of the attacks.

Emerging DDoS attack detection and mitigation strategies in software-defined networks: Taxonomy, challenges and future directions

2021 ◽  
pp. 103093
Author(s):  
Ismael Amezcua Valdovinos ◽  
Jesús Arturo Pérez-Díaz ◽  
Kim-Kwang Raymond Choo ◽  
Juan Felipe Botero
Keyword(s):  
Attack Detection ◽  
Mitigation Strategies ◽  
Software Defined Networks ◽  
Future Directions ◽  
Ddos Attack ◽  
Ddos Attack Detection

Ddos Attack Detection in E-Government Cloud Via Data Clustering

2021 ◽  
Author(s):  
Fargana J. Abdullayeva
Keyword(s):  
Data Clustering ◽  
Attack Detection ◽  
Ddos Attack ◽  
Ddos Attack Detection

A CGAN-based DDoS Attack Detection Method in SDN

2021 ◽  
Author(s):  
Liu ◽  
Luo ◽  
Jiang ◽  
Wang ◽  
Li ◽  
...  
Keyword(s):  
Detection Method ◽  
Attack Detection ◽  
Ddos Attack ◽  
Ddos Attack Detection
Sign in / Sign up

Export Citation Format

Share Document