LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models.
Crispin AlmodovarFariza SabrinaSarvnaz KarimiSalahuddin A. AzadPublished 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