Please use this identifier to cite or link to this item:
Type: Conference paper
Title: Combining routing and traffic data for detection of IP forwarding anomalies
Author: Roughan, M.
Griffin, T.
Mao, M.
Greenberg, A.
Freeman, B.
Citation: Proceedings of the joint international conference on Measurement and modeling of computer systems 2004, New York, NY, USA, pp. 416-417
Publisher: ACM Sigmetrics
Publisher Place:
Issue Date: 2004
Conference Name: Joint International Conference on Measurement and Modeling of Computer Systems ( 2004 : New York, USA)
Editor: Coffman Jr, E.
Abstract: IP forwarding anomalies, triggered by equipment failures, implementation bugs, or configuration errors, can significantly disrupt and degrade network service. Robust and reliable detection of such anomalies is essential to rapid problem diagnosis, problem mitigation, and repair. We propose a simple, robust method that integrates routing and traffic data streams to reliably detect forwarding anomalies. The overall method is scalable, automated and self-training. We find this technique effectively identifies forwarding anomalies, while avoiding the high false alarms rate that would otherwise result if either stream were used unilaterally.
Description: Copyright is held by the author/owner.
Appears in Collections:Applied Mathematics publications
Aurora harvest 6

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.