Soft Computing Techniques for Internet Backbone Traffic Anomaly Detection

Abstract

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.

Publication
Applications of Evolutionary Computing, pp. 99-104, Lecture Notes in Computer Science, https://doi.org/10.1007/978-3-642-01129-0_12
Date
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