LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models.

Crispin Almodovar Fariza Sabrina Sarvnaz Karimi Salahuddin A. Azad

Published in: IEEE Trans. Netw. Serv. Manag. (2024)

Keyphrases

anomaly detection
language model
fine tuned
fine tuning
language modeling
intrusion detection
network intrusion detection
document retrieval

n gram
information retrieval
retrieval model
detecting anomalies
query expansion
domain specific
language modelling
probabilistic model

anomalous behavior
statistical language models
network anomaly detection
one class support vector machines
test collection
network traffic
relevance model
language models for information retrieval

smoothing methods
query terms
intrusion detection system
novelty detection
pseudo relevance feedback
unsupervised learning
similarity measure
feature selection