# chiragbiradar/DDoS-Attack-Detection-and-Mitigation

<https://repo.masters-masters.com/repos/chiragbiradar/DDoS-Attack-Detection-and-Mitigation>

[Accueil](https://repo.masters-masters.com/) › [chiragbiradar](https://repo.masters-masters.com/owners/chiragbiradar) › [DDoS-Attack-Detection-and-Mitigation](https://repo.masters-masters.com/repos/chiragbiradar/DDoS-Attack-Detection-and-Mitigation)

chiragbiradar/DDoS-Attack-Detection-and-Mitigation, dépôt open source à 230 étoiles sur GitHub. Carte Prototype de RepoMasters. SDN networks (Software Defined…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [chiragbiradar](https://repo.masters-masters.com/owners/chiragbiradar) |
| Étoiles | 230 |
| Forks | 42 |
| Langage | [Python](https://repo.masters-masters.com/languages/python) |
| Licence | MIT |
| Création | 2022 |
| Sujets | sdn, knn-classification, machile-learning, mininet, networking, python, random-forest, ryu-controller, ryu-sdn-controller, sdn-controller |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [chiragbiradar/DDoS-Attack-Detection-and-Mitigation](https://github.com/chiragbiradar/DDoS-Attack-Detection-and-Mitigation) |

## Fiche du dépôt

SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.