CESNET-CC25: Dataset for detection of C&C communication of botnets in the periodic behavior features from multiflow time series format
Description
We introduce a novel dataset, CESNET-CC25, specifically designed to capture up-to-date botnet C&C traffic patterns to address these shortcomings. This dataset provides a richer and more representative collection of contemporary threats, enabling more reliable evaluation of detection methods against modern botnet behaviors, including decentralized architectures and encrypted communications.
The IP addresses of benign traffic from the CESNET network were anonymized.
The PCAP of botnet communication are available here: https://zenodo.org/records/16752462
The IP flow format of the dataset is available here: https://zenodo.org/uploads/16753890
Directory Structure
- benign - contains extracted benign periodic features of multiflows time series
- botnet - contains extracted botnet periodic features of multiflows time series
- <botnet|benign>/<sample_folder>/<aggregation_interval>/ - this represents directory structure
Botnet directory metadata
+----------------------+
| Folder | Family |
|------------|---------|
| 1-u4 | Gafgyt |
| 2-u5 | Mirai |
| 3-u6 | Mirai |
| 4-u7 | Mirai |
| 5-u8 | Mirai |
| 6-u8_2 | Kaiji |
| 7-u6_3 | Mirai |
| 8-u8_3 | Mirai |
| 9-u0_0 | Miori |
| 10-u5_4 | Hailbot |
| 11-u6_4 | Gafgyt |
| 12-u7_4 | Mirai |
| 13-u8_4 | Hailbot |
| 14-u9 | Hailbot |
| 15-u10 | Mirai |
| 16-u11 | Gafgyt |
| 17-u10_3 | Hailbot |
| 18-u11_2 | Mirai |
| 19-u11_3 | Mirai |
| 20-u9_4 | Gafgyt |
| 21-u10_4 | Mirai |
| 22-u11_5 | Gafgyt |
| 23-u12_5 | Gafgyt |
| 24-u12_6 | Mirai |
| 25-u9_7 | Xorbot |
| 26-u10_7 | Gafgyt |
| 27-u12_7 | Hailbot |
| 28-u9_8 | Gafgyt |
| 29-u10_8 | Mirai |
| 30-u11_8 | Gafgyt |
| 31-u9_9 | Gafgyt |
| 32-u12_9 | Mirai |
+----------------------+
combined - directory that contains all separated botnets together
Files
Files
(5.6 GB)
Name | Size | Download all |
---|---|---|
md5:cee8654bee8a3b6623fdae490fa24b7f
|
5.6 GB | Download |
md5:7f58e6d986d44612419dc7b843203038
|
12.1 MB | Download |