Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection with Birch Clustering on CICIDS-2017 Dataset. (arXiv:2208.09711v2 [cs.CR] UPDATED)

Machine learning algorithms have been widely used in intrusion detection
systems, including Multi-layer Perceptron (MLP). In this study, we proposed a
two-stage model that combines the Birch clustering algorithm and MLP classifier
to improve the performance of network anomaly multi-classification. In our
proposed method, we first apply Birch or Kmeans as an unsupervised clustering
algorithm to the CICIDS-2017 dataset to pre-group the data. The generated
pseudo-label is then added as an additional feature to the training of the
MLP-based classifier. …

anomaly anomaly detection arxiv clustering dataset detection mlp multilayer-perceptron network perceptron