Synthetic UDP Flood Cyberattack Dataset
Authors/Creators
Description
This file contains a Synthetic Cyberattack Dataset created by IITIS within the DOSS Project concerning UDP Cyberattacks against a DOSS IoT Usecase and its Gateway. The Dataset contains data concerning both attack and benign packets that are generated by two distinct devices, one of which is compromised while the other sends normal benign traffic. The data is labeled with the Ground Truth, so that it can be used for testing and optimizing the cyberattack detection and mitigation algorithms and systems that are developed in DOSS.
Files
Files
(12.1 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:3dcd81209cd0d3e6163e3d17826f186f
|
12.1 MB | Download |
Additional details
Related works
- Is supplement to
- Journal article: 10.1109/JIOT.2025.3529615 (DOI)
- Conference paper: 10.5281/zenodo.13916258 (DOI)
- Conference paper: 10.5281/zenodo.8094795 (DOI)
- Conference paper: 10.5281/zenodo.10154445 (DOI)
Funding
References
- Gelenbe, E., & Nasereddin, M. (2025). Adaptive Attack Mitigation for IoV Flood Attacks. IEEE Internet of Things Journal. https://doi.org/10.5281/zenodo.14647211
- Nasereddin, M., Nakip, M., & Gelenbe, E. (2024, October 10). A Deep Learning based Intrusion Detection and Prevention System for Mitigating DoS Attacks. EuroCyberSec24 Workshop, co-located with IEEE MASCOTS'24, Krakow, Poland. https://doi.org/10.5281/zenodo.13916259
- Mohammed Nasereddin, Mert Nakip, & Gelenbe, E. (2023, September 6). Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed. The 48th IEEE Conference on Local Computer Networks (IEEE LCN 2023), Daytona Beach, Florida, USA. https://doi.org/10.1109/LCN58197.2023.10223358
- Gelenbe, E., & Nasereddin, M. (2023, November 1). Protecting IoT Servers Against Flood Attacks with the Quasi Deterministic Transmission Policy. 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2023), Exeter, UK. https://doi.org/10.5281/zenodo.10154446