N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders

9 May 2018

Papers citing "N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders"

7 / 7 papers shown

Title
Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction Hassan Wasswa Hussein Abbass Timothy Lynar GNN 63 0 0 23 May 2025
Are GNNs Worth the Effort for IoT Botnet Detection? A Comparative Study of VAE-GNN vs. ViT-MLP and VAE-MLP Approaches Hassan Wasswa Hussein Abbass Timothy Lynar 54 0 0 23 May 2025
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder Hassan Wasswa Aziida Nanyonga Timothy Lynar DRL 93 4 0 21 Apr 2025
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems Ayush Kumar V. Thing 80 1 0 21 Feb 2025
PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments Ajesh Koyatan Chathoth Stephen Lee 55 0 0 26 Jan 2025
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 88 2 0 22 Mar 2024
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams Aaron Tuor Samuel Kaplan Brian Hutchinson Nicole Nichols Sean Robinson 50 307 0 02 Oct 2017