: The project has since evolved into CREMEv2 , which offers expanded capabilities for dataset collection and more complex attack scenarios. Technical Components
The toolchain used to generate these files is built with several key technologies: : Used for the management interface. CREMEnaPromo2021.7z
: Used for automating interactive applications during attack simulations. : The project has since evolved into CREMEv2
For further research or to access the latest versions of these datasets, you can visit the CREME Project GitHub Repository or explore the CREMEv2 documentation. For further research or to access the latest
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
: 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.
