A novel, refined dataset for real-time Network Intrusion Detection-Reference-Cited by-同舟云学术

A novel, refined dataset for real-time Network Intrusion Detection

Published:2022-08-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th International Conference on Availability, Reliability and Security
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Author:

Komisarek Mikołaj¹,Pawlicki Marek¹,Mihailescu Maria-Elena²,Mihai Darius²,Carabas Mihai²,Kozik Rafał³,Choraś Michał⁴

Affiliation:

1. ITTI Sp. z o.o., Poland and Bydgoszcz University of Science and Technology, Poland

2. University Politehnica of Bucharest, Romania

3. ITTI Sp. z o.o, Poland and Bydgoszcz University of Science and Technology, Poland

4. FernUniversität in Hagen, Germany and Bydgoszcz University of Science and Technology, Poland

Funder

Horizon 2020 Framework Programme

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3538969.3544486

Reference31 articles.

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2. Gérard Biau. 2010. Analysis of a Random Forests Model. https://doi.org/10.48550/ARXIV.1005.0208 10.48550/ARXIV.1005.0208

3. Gérard Biau. 2010. Analysis of a Random Forests Model. https://doi.org/10.48550/ARXIV.1005.0208

4. Tianqi Chen and Carlos Guestrin . 2016 . XGBoost. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM , San Francisco, –. https://doi.org/10.1145/2939672.2939785 10.1145/2939672.2939785 Tianqi Chen and Carlos Guestrin. 2016. XGBoost. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, San Francisco, –. https://doi.org/10.1145/2939672.2939785

5. Dylan Chou and Meng Jiang. 2020. Data-Driven Network Intrusion Detection: A Taxonomy of Challenges and Methods. CoRR abs/2009.07352(2020) –. arXiv:2009.07352https://arxiv.org/abs/2009.07352 Dylan Chou and Meng Jiang. 2020. Data-Driven Network Intrusion Detection: A Taxonomy of Challenges and Methods. CoRR abs/2009.07352(2020) –. arXiv:2009.07352https://arxiv.org/abs/2009.07352

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