Introduces the first public multi-source cybersecurity log dataset with per-entry ATT&CK technique labels across 12 tactics and 53 techniques and demonstrates learnability via LoRA fine-tuning of three SLMs on chunk classification and technique identification.
LMDG: Advancing lateral movement detection through high-fidelity dataset generation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation
Introduces the first public multi-source cybersecurity log dataset with per-entry ATT&CK technique labels across 12 tactics and 53 techniques and demonstrates learnability via LoRA fine-tuning of three SLMs on chunk classification and technique identification.