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.
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Azzini, A., De Felice, M., Meloni, S., Tettamanzi, A.G.B. (2009). Soft Computing Techniques for Internet Backbone Traffic Anomaly Detection. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_12
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DOI: https://doi.org/10.1007/978-3-642-01129-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01128-3
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