scholarly journals SDN-Based Architecture for Transport and Application Layer DDoS Attack Detection by Using Machine and Deep Learning

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Noe M. Yungaicela-Naula ◽  
Cesar Vargas-Rosales ◽  
Jesus Arturo Perez-Diaz
Keyword(s):  
Deep Learning ◽  
Attack Detection ◽  
Application Layer ◽  
Ddos Attack ◽  
Ddos Attack Detection

scholarly journals DoS and DDoS Attack Detection Using Deep Learning and IDS

2020 ◽  
Vol 17 (4A) ◽  
pp. 655-661
Author(s):  
Mohammad Shurman ◽  
Rami Khrais ◽  
Abdulrahman Yateem
Keyword(s):  
Deep Learning ◽  
Short Term Memory ◽  
Detection System ◽  
Denial Of Service ◽  
Attack Detection ◽  
Target System ◽  
Online Systems ◽  
Ddos Attack ◽  
Long Short Term Memory ◽  
Ddos Attack Detection

In the recent years, Denial-of-Service (DoS) or Distributed Denial-of-Service (DDoS) attack has spread greatly and attackers make online systems unavailable to legitimate users by sending huge number of packets to the target system. In this paper, we proposed two methodologies to detect Distributed Reflection Denial of Service (DrDoS) attacks in IoT. The first methodology uses hybrid Intrusion Detection System (IDS) to detect IoT-DoS attack. The second methodology uses deep learning models, based on Long Short-Term Memory (LSTM) trained with latest dataset for such kinds of DrDoS. Our experimental results demonstrate that using the proposed methodologies can detect bad behaviour making the IoT network safe of Dos and DDoS attacks

scholarly journals Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection

2020 ◽  
Vol 17 (2) ◽  
pp. 876-889 ◽  
Author(s):  
R. Doriguzzi-Corin ◽  
S. Millar ◽  
S. Scott-Hayward ◽  
J. Martinez-del-Rincon ◽  
D. Siracusa
Keyword(s):  
Deep Learning ◽  
Attack Detection ◽  
Ddos Attack ◽  
Ddos Attack Detection
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