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NOMAD: traffic-based network monitoring framework for anomaly detection

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3 Author(s)
Talpade, R. ; Telcordia Technol., Morristown, NJ, USA ; Kim, Gitae ; Khurana, S.

Network performance monitoring is essential for managing a network efficiently and for ensuring reliable operation of the network. In this paper we introduce a scalable network monitoring framework, (NOMAD), that detects network anomalies through the characterization of the dynamic statistical properties of network traffic. NOMAD relies on high resolution measurements and on-line analysis of network traffic to provide real-time alarms in the incipient phase of network anomalies. It incorporates a suite of anomaly identification algorithms based on path changes, flow shift, and packet delay variance, and relies extensively on IP packet header information, such as TTL, source/destination address and packet length, and router's timestamps. NOMAD can be deployed in a single backbone router or incrementally in a regional or large scale network for detecting and locating network anomalies by correlating spatial and temporal network state information

Published in:

Computers and Communications, 1999. Proceedings. IEEE International Symposium on

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