Código QR (código de barras bidimensional)

Boundary-Aware Contrastive Learning for Log Anomaly Detection

Log anomaly detection in modern distributed systems is challenging. Anomalous behaviors are rare. Manual labeling is expensive. Session boundaries are often set by fixed heuristics before model training. This fixed-boundary assumption is problematic because segmentation errors propagate into represe...

Fuld beskrivelse

Na minha lista:
Principais autores: Fouad Ailabouni, Jesús-Ángel Román-Gallego, María-Luisa Pérez-Delgado, Laura Grande Pérez
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-03-01
Serier:Applied Sciences
Fag:
log anomaly detection
contrastive learning
session segmentation
self-supervised learning
zero-shot detection
LSTM
Online adgang:https://www.mdpi.com/2076-3417/16/7/3208
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker