Please use this identifier to cite or link to this item:
Scopus Web of ScienceĀ® Altmetric
Type: Conference paper
Title: IP forwarding anomalies and improving their detection using multiple data sources
Author: Roughan, M.
Griffin, T.
Mao, M.
Greenberg, A.
Freeman, B.
Citation: Proceedings of ACM SIGCOMM 2004 : Portland/Oregon/USA, August 30-September 3, 2004 : Conference on Computer Communications, pp. 307-312
Publisher: ACM
Publisher Place: Oregon, USA
Issue Date: 2004
ISBN: 1581138628
Conference Name: Association for Computing Machinery Special Interest Group on Data Communication conference (2004 : Portland, Oregon)
Editor: Bennett, J.
Allman, M.
Statement of
Matthew Roughan, Tim Griffin, Z. Morley Mao, Albert Greenberg, Brian Freeman
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, and report on the evaluation of the method in a tier-1 ISP backbone. First, we transform each data stream separately, to produce informative alarm indicators. A forwarding anomaly is then signalled only if the indicators for both streams indicate anomalous behavior concurrently. 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 2004 ACM
DOI: 10.1145/1016687.1016703
Published version:
Appears in Collections:Applied Mathematics publications
Aurora harvest 2

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.