The dataset used is 10% of KDDcup99. The dataset is then split 70% for training and 30% for testing.

Intrusion Detection using various Data Mining Techniques (KDD Cup 1999 Data)

implement IDS using deep learning

Network Intrusion Detection System using Deep Learning Techniques

Using PyTorch to train kddcup99 dataset with convolutional neural networks.

使用贝叶斯、神经网络、KNN进行入侵检测（KDD-CUP99）

基于机器学习的入侵检测系统

自己实现的深度学习训练框架，纯java实现，没有过多的第三方依赖，可分布式训练

使用卷积神经网络进行网络入侵检测，正确率可达99.5%

Deploying AI model with spring boot

基于KNN算法的入侵检测系统