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. 2010.11453
  4. Cited By
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge
  Traffic

Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic

22 October 2020
Ayush Kumar
M. Shridhar
S. Swaminathan
Teng Joon Lim
ArXivPDFHTML

Papers citing "Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic"

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
24
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
38
2
0
21 Apr 2025
RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via
  Attack Stage Correlation
RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation
Ayush Kumar
V. Thing
15
12
0
27 Jan 2023
1