Dataset Open Access
Landauer, Max; Skopik, Florian; Wurzenberger, Markus; Hotwagner, Wolfgang; Rauber, Andreas
AIT Log Data Sets
This repository contains synthetic log data suitable for evaluation of intrusion detection systems. The logs were collected from four independent testbeds that were built at the Austrian Institute of Technology (AIT) following the approach by Landauer et al. (2020) . Please refer to the paper for more detailed information on automatic testbed generation and cite it if the data is used for academic publications. In brief, each testbed simulates user accesses to a webserver that runs Horde Webmail and OkayCMS. The duration of the simulation is six days. On the fifth day (2020-03-04) two attacks are launched against each web server.
The archive AIT-LDS-v1_0.zip contains the directories "data" and "labels".
The data directory is structured as follows. Each directory mail.<name>.com contains the logs of one web server. Each directory user-<ID> contains the logs of one user host machine, where one or more users are simulated. Each file log<UID>.log in the user-<ID> directories contains the activity logs of one particular user.
Setup details of the web servers:
Setup details of user machines:
User host machines are assigned to web servers in the following way:
The following attacks are launched against the web servers (different starting times for each web server, please check the labels for exact attack times):
Attacks are launched from the following user host machines. In each of the corresponding directories user-<ID>, logs of the attack execution are found in the file attackLog.txt:
The log data collected from the web servers includes
Note that due to their large size, the audit/audit.log files of each server were compressed in a .zip-archive. In case that these logs are needed for analysis, they must first be unzipped.
Labels are organized in the same directory structure as logs. Each file contains two labels for each log line separated by a comma, the first one based on the occurrence time, the second one based on similarity and ordering. Note that this does not guarantee correct labeling for all lines and that no manual corrections were conducted.
Version history and related data sets:
Acknowledgements: Partially funded by the FFG projects INDICAETING (868306) and DECEPT (873980), and the EU project GUARD (833456).
If you use the dataset, please cite the following publication:
 M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner and A. Rauber, "Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed," in IEEE Transactions on Reliability, vol. 70, no. 1, pp. 402-415, March 2021, doi: 10.1109/TR.2020.3031317. [PDF]