Soft Computing Techniques for Internet Backbone Traffic Anomaly Detection

摘要

The detection of anomalies and faults is a fundamental task for different fields, especially in real cases like LAN networks and the Internet. We present an experimental study of anomaly detection on a simulated Internet backbone network based on neural networks, particle swarms, and artificial immune systems.