SCVIC-CIDS-2021: Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection
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https://ieee-dataport.org/documents/scvic-cids-2021-collaborative-feature-maps-networks-and-hosts-ai-driven-intrusion
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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.
提供机构：
IEEE DataPort
创建时间：
2022-08-29
