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 2 months ago)
Stargazers 27 (0 this week)
Watchers 6 (0 this week)
Forks 9
License mit
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RepositoryStats indexes 584,353 repositories, of these Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security is ranked #570,952 (2nd percentile) for total stargazers, and #297,856 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,506/17,098.

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 (#8,291/8389),  machine-learning (#7,815/7926),  cybersecurity (#923/943),  automl (#207/208),  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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updated: 2024-11-14 @ 05:23pm, id: 679742939 / R_kgDOKIQN2w