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Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT
  Systems

Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems

5 December 2023
Phai Vu Dinh
Quang-Uy Nguyen
D. Hoang
Diep N. Nguyen
Son Pham Bao
E. Dutkiewicz
    AAML
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Papers citing "Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems"

3 / 3 papers shown
Title
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment
A. Karthick kumar
S. Rathnamala
T. Vijayashanthi
M. Prabhananthakumar
Alavikunhu Panthakkan
Shadi Atalla
W. Mansoor
74
1
0
10 Feb 2025
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion
  Detection Systems
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems
Phai Vu Dinh
Diep N. Nguyen
D. Hoang
Nguyen Quang Uy
E. Dutkiewicz
Son Pham Bao
29
1
0
22 Mar 2024
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Phai Vu Dinh
Nguyen Quang Uy
D. Hoang
Diep N. Nguyen
Son Pham Bao
E. Dutkiewicz
AAML
73
1
0
22 Mar 2024
1