Anomaly-Detection-KDD99-CNNLSTM:使用机器学习和深度学习的入侵检测系统-源码

[{"title":"（ 17 个子文件 44KB ） Anomaly-Detection-KDD99-CNNLSTM:使用机器学习和深度学习的入侵检测系统-源码","children":[{"title":"Anomaly-Detection-KDD99-CNNLSTM-master","children":[{"title":"stream.py <span style='color:#111;'> 2.43KB </span>","children":null,"spread":false},{"title":"convert.py <span style='color:#111;'> 363B </span>","children":null,"spread":false},{"title":"read.py <span style='color:#111;'> 124B </span>","children":null,"spread":false},{"title":"gitignore <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"03. preprocessing_unlabeled.ipynb <span style='color:#111;'> 38.09KB </span>","children":null,"spread":false},{"title":"05. cnn.ipynb <span style='color:#111;'> 11.99KB </span>","children":null,"spread":false},{"title":"04. knn.ipynb <span style='color:#111;'> 6.33KB </span>","children":null,"spread":false},{"title":"09. test_filters.ipynb <span style='color:#111;'> 13.29KB </span>","children":null,"spread":false},{"title":"01. convert.ipynb <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false},{"title":"clean.py <span style='color:#111;'> 5.43KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"10. combine.ipynb <span style='color:#111;'> 7.60KB </span>","children":null,"spread":false},{"title":"07. naive_bayes.ipynb <span style='color:#111;'> 5.42KB </span>","children":null,"spread":false},{"title":"06. random_forest.ipynb <span style='color:#111;'> 5.93KB </span>","children":null,"spread":false},{"title":"02. preprocessing_labeled.ipynb <span style='color:#111;'> 81.64KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false},{"title":"08. sgd.ipynb <span style='color:#111;'> 6.32KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]