文件名称：Intrusion-Detection-in-IoT-Based-Network
文件大小：6.22MB
文件格式：ZIP
更新时间：2024-04-09 06:25:12
JupyterNotebook
基于物联网的网络入侵检测
【文件预览】：
Intrusion-Detection-in-IoT-Based-Network-main
----UNSW_NB15_Unsupervised.ipynb(60KB)
----UNSW_NB15_Unsupervised_With_Decision_Model.ipynb(2.91MB)
----Testing_under_sampling.ipynb(820KB)
----Test()
--------KNN.ipynb(16KB)
----Protocol_Analyzer_Feature_Trasnformed.ipynb(193KB)
----Final_result()
--------Protocol_Analyzer_Feature_Trasnformed.ipynb(205KB)
--------Protocol_AnalyZer_Completed.ipynb(287KB)
----Protocol_AnalyZer.ipynb(72KB)
----LICENSE(1KB)
----Complete_model_WIth_63_perct_acc.ipynb(2.38MB)
----LogisticRegres_DecisionTree_RandomeForest_MultilayerPerceptron.ipynb(13.22MB)
----Protocol_AnalyZer_Almost_Completed.ipynb(106KB)
----Saving To Continue after sport.ipynb(210KB)
----.gitignore(2KB)
----UNSW_NB15_Unsupervised_With_OPTICS.ipynb(120KB)
----Full_model_V1_0.ipynb(2.35MB)
----README.md(42B)
----Protocol_AnalyZer_Completed.ipynb(167KB)
----LogisticRegres_DecisionTree_RandomeForest_MultilayerPerceptron_Feature_selection.ipynb(2.27MB)
----testing_somthing.ipynb(104KB)