Western-OC2-Lab / AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.

Date Created 2023-08-17 (about a year ago)
Commits 19 (last one 3 months ago)
Stargazers 28 (0 this week)
Watchers 6 (0 this week)
Forks 9
License mit
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RepositoryStats indexes 595,890 repositories, of these Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security is ranked #577,816 (3rd percentile) for total stargazers, and #300,623 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,764/17,543.

Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security is also tagged with popular topics, for these it's ranked: deep-learning (#8,389/8511),  machine-learning (#7,899/8062),  cybersecurity (#937/966),  automl (#210/212),  hyperparameter-optimization (#121/122),  feature-engineering (#112/113)

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19 commits on the default branch (main) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-12-17 @ 05:28pm, id: 679742939 / R_kgDOKIQN2w