SCVIC-CIDS-2021: Collaborative Feature Maps of Networks and Hosts for Intrusion Detection
- Citation Author(s):
-
Jinxin Liu
(University of Ottawa)
Murat Simsek
(University of Ottawa)
Burak Kantarci
(University of Ottawa)
Mehran Bagheri (Ciena)Petar Djukic
(Ciena)
- Submitted by:
- Burak Kantarci
- Last updated:
- DOI:
- 10.21227/ykz8-sy55
- Data Format:
- Research Article Link:
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Abstract
SCVIC-CIDS-2021 is a novel dataset that combines network- and host-based data.
SCVIC-CIDS-2021 is derived from the meta-data (i.e., network packets, system logs and labeling information) from the well-known benchmark dataset, CIC-IDS-2018 (Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018 ) .
In our paper ( J. Liu, M. Simsek, B. Kantarci, M. Bagheri, P. Djukic “Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection,” IEEE Global Communications Conference (Globecom), Rio de Janeiro, Brazil, December 2022), the generation procedure is described in detail.
Instructions:
Please see the attachment for details and proper citation of the dataset.
Please use the following citation if you use the dataset for academic research:
@inproceedings{liu2022collaborative,
title={Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection},
author={Liu, Jinxin and Simsek, Murat and Kantarci, Burak and Bagheri, Mehran and Djukic, Petar},
booktitle={IEEE Global Communications Conference (Globecom)},
year={2022}
}
Excellent collection