Detecting BGP anomalies with wavelet


In this paper, we propose a BGP anomaly detection framework called BAlet that delivers both temporal and spatial localization of the potential anomalies. It requires only a simple count of BGP update messages collected over a certain period. We first investigate the self-similarity in BGP update traffic and present a quantitative validation. The strength of… (More)
DOI: 10.1109/NOMS.2008.4575169


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@article{Mai2008DetectingBA, title={Detecting BGP anomalies with wavelet}, author={Jianning Mai and Lihua Yuan and Chen-Nee Chuah}, journal={NOMS 2008 - 2008 IEEE Network Operations and Management Symposium}, year={2008}, pages={465-472} }