In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems-Reference-Cited by-同舟云学术

In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Beltiukov Roman¹^ORCID,Guo Wenbo²^ORCID,Gupta Arpit¹^ORCID,Willinger Walter³^ORCID

Affiliation:

1. UC Santa Barbara, Santa Barbara, CA, USA

2. Purdue University, West Lafayette, IN, USA

3. NIKSUN, Inc., Princeton, NJ, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3623075

Reference109 articles.

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3. Anonymous, A. A. Niaki, N. P. Hoang, P. Gill, and A. Houmansadr. Triplet censors: Demystifying great Firewall's DNS censorship behavior. In FOCI, 2020.

4. Ansible automation platform. https://www.ansible.com/.

5. D. W. Apley and J. Zhu. Visualizing the effects of predictor variables in black box supervised learning models, 2019.

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