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.
Soft computing techniques for Internet backbone traffic anomaly detection / A. Azzini, M. De Felice, S. Meloni, A.G.B. Tettamanzi (LECTURE NOTES IN COMPUTER SCIENCE). - In: Applications of evolutionary computing / [a cura di] Mario Giacobini ... [et al.]. - Berlin : Springer, 2009. - ISBN 9783642011283. - pp. 99-104 (( convegno EvoWorkshops2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG : April, 15th - 17th tenutosi a Tuebingen (Germany) nel 2009 [10.1007/978-3-642-01129-0_12].
Soft computing techniques for Internet backbone traffic anomaly detection
A. AzziniPrimo
;A.G.B. TettamanziUltimo
2009
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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