[{"title":"( 10 个子文件 3.1MB ) Saad_Portfolio:深度学习可检测网络入侵攻击-源码","children":[{"title":"Saad_Portfolio-master","children":[{"title":"KohonenSom.py <span style='color:#111;'> 4.84KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 411B </span>","children":null,"spread":false},{"title":"AnomalyDetection.py <span style='color:#111;'> 2.96KB </span>","children":null,"spread":false},{"title":"Self-Organizing Maps-Based K-Nearest Neighbor Algorithm for Network Intrusion Detection.ipynb <span style='color:#111;'> 697.19KB </span>","children":null,"spread":false},{"title":"KDDTrain+_20Percent.csv <span style='color:#111;'> 2.81MB </span>","children":null,"spread":false},{"title":"KDDtest.csv <span style='color:#111;'> 2.54MB </span>","children":null,"spread":false},{"title":"ClassificationMirai.py <span style='color:#111;'> 6.41KB </span>","children":null,"spread":false},{"title":"KDDTrain+.csv <span style='color:#111;'> 14.06MB </span>","children":null,"spread":false},{"title":"minisom.py <span style='color:#111;'> 10.73KB </span>","children":null,"spread":false},{"title":"Thesis.py <span style='color:#111;'> 8.25KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]