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Bayesian detection of router configuration anomalies
2005
Proceeding of the 2005 ACM SIGCOMM workshop on Mining network data - MineNet '05
Problems arising from router misconfigurations cost time and money. The first step in fixing such misconfigurations is finding them. Previous efforts to solve this problem have depended on an a priori model of what constitutes a correct configuration and are limited to finding deviations from this model, but fail to detect misconfigurations that are uncommon or unexpected. In this paper, we propose a method for detecting misconfigurations that does not rely on a priori expectations of their
doi:10.1145/1080173.1080190
dblp:conf/minenet/El-AriniK05
fatcat:kddto7nexfaolngaovfki4urey