Benchmarking Large Language Models for Log Analysis, Security, and Interpretation

E Karlsen, X Luo, N Zincir-Heywood… - Journal of Network and …, 2024 - Springer
Abstract Large Language Models (LLM) continue to demonstrate their utility in a variety of
emergent capabilities in different fields. An area that could benefit from effective language …

Large language models and unsupervised feature learning: implications for log analysis

E Karlsen, X Luo, N Zincir-Heywood… - Annals of …, 2024 - Springer
Log file analysis is increasingly being addressed through the use of large language models
(LLM). LLM provides the mechanism for discovering embeddings for distinguishing between …

Exploring syntactical features for anomaly detection in application logs

R Copstein, E Karlsen, J Schwartzentruber… - it-Information …, 2022 - degruyter.com
In this research, we analyze the effect of lightweight syntactical feature extraction techniques
from the field of information retrieval for log abstraction in information security. To this end …