: A log parsing framework for processing system logs into structured data.

: The project has since evolved into CREMEv2 , which offers expanded capabilities for dataset collection and more complex attack scenarios. Technical Components

The specific filename "CREMEnaPromo2021.7z" follows the naming convention for datasets generated during specific research cycles or promotional releases of the toolchain.

: These datasets typically contain traffic logs, system metrics, and attack labels (e.g., DDoS, Brute Force, Mirai) used by researchers to benchmark AI-driven security tools.

The CREME project provides a toolchain for the automatic collection of datasets used to train machine learning models for (IDS). Its primary goal is to generate realistic, labeled datasets by simulating various cyberattacks in a controlled environment. Context of the 2021 Archive