ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.02203
  4. Cited By
A Case Study on Using Deep Learning for Network Intrusion Detection

A Case Study on Using Deep Learning for Network Intrusion Detection

5 October 2019
Gabriel C. Fernandez
Shouhuai Xu
ArXiv (abs)PDFHTML

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
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
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
43
16
0
05 Aug 2023
DoS and DDoS Mitigation Using Variational Autoencoders
DoS and DDoS Mitigation Using Variational Autoencoders
Eirik Molde Bårli
Anis Yazidi
E. Herrera-Viedma
H. Haugerud
AAMLDRL
23
16
0
14 May 2021
Scalable Microservice Forensics and Stability Assessment Using
  Variational Autoencoders
Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders
Prakhar Sharma
Phillip A. Porras
Steven Cheung
James Carpenter
V. Yegneswaran
11
3
0
23 Apr 2021
1