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NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS
  Attack Detection in IoT Domains

NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains

15 July 2022
Kumar Saurabh
T. kumar
Uphar Singh
O. P. Vyas
R. Khondoker
ArXivPDFHTML

Papers citing "NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains"

3 / 3 papers shown
Title
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets
Hassan Wasswa
Timothy Lynar
Hussein Abbass
39
7
0
26 Apr 2025
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
Hassan Wasswa
Aziida Nanyonga
Timothy Lynar
DRL
53
2
0
21 Apr 2025
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,296
0
09 Jun 2011
1