Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Few-Shot Network Intrusion Detection Using Online Triplet Mining
Cover Image

Few-Shot Network Intrusion Detection Using Online Triplet Mining

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Wilkie, Jack, Hindy, Hanan, Tachtatzis, Christos, Bures, Miroslav, Atkinson, Robert
Format: Preprint
Published: 2026
Subjects:
Cryptography and Security
Artificial Intelligence
Machine Learning
Networking and Internet Architecture
I.2.6; K.6.5
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2605.17530

Similar Items

  • Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs
    by: Wilkie, Jack, et al.
    Published: (2025)
  • A Novel Contrastive Loss for Zero-Day Network Intrusion Detection
    by: Wilkie, Jack, et al.
    Published: (2026)
  • Signal-Based Malware Classification Using 1D CNNs
    by: Wilkie, Jack, et al.
    Published: (2025)
  • Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing
    by: Wong, Adam Dorian, et al.
    Published: (2026)
  • Multi-Agent Honeypot-Based Request-Response Context Dataset for Improved SQL Injection Detection Performance
    by: Yu, Hao, et al.
    Published: (2026)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar