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SCVIC-CIDS-2021: Collaborative Feature Maps of Networks and Hosts for Intrusion Detection
- Citation Author(s):
-
JinxinLiu
University of OttawaMuratSimsekUniversity of OttawaBurakKantarciUniversity of OttawaPetarDjukicCiena - Submitted by:
- Burak Kantarci
- Last updated:
- Sat, 09/02/2023 - 16:49
- DOI:
- 10.21227/ykz8-sy55
- Data Format:
- Research Article Link:
- License:
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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.
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}
}
Documentation
| Attachment | Size |
|---|---|
 SCVIC-CIDS-2021 Description | 95.65 KB |
Comments
Excellent collection