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1910.02203
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A Case Study on Using Deep Learning for Network Intrusion Detection
5 October 2019
Gabriel C. Fernandez
Shouhuai Xu
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Papers citing
"A Case Study on Using Deep Learning for Network Intrusion Detection"
4 / 4 papers shown
Title
AutoCRAT: Automatic Cumulative Reconstruction of Alert Trees
Eric Ficke
Raymond M. Bateman
Shouhuai Xu
14
1
0
17 Sep 2024
Meta-Analysis and Systematic Review for Anomaly Network Intrusion Detection Systems: Detection Methods, Dataset, Validation Methodology, and Challenges
Z. K. Maseer
R. Yusof
Baidaa Al-Bander
Abdulgbar Saif
Qusay Kanaan Kadhim
50
16
0
05 Aug 2023
DoS and DDoS Mitigation Using Variational Autoencoders
Eirik Molde Bårli
Anis Yazidi
E. Herrera-Viedma
H. Haugerud
AAML
DRL
23
16
0
14 May 2021
Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders
Prakhar Sharma
Phillip A. Porras
Steven Cheung
James Carpenter
V. Yegneswaran
13
3
0
23 Apr 2021
1