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In this paper, we propose the use of prefix visibility at the interdomain level as an early symptom of anomalous events in the Internet. We focus on detecting anomalies which, despite their significant impact on the routing system, remain concealed from state of the art tools. We design a machine learning system to winnow the prefixes with unintended limited visibility -symptomatic of anomalous events -from the prefixes with intended limited visibility -resulting from legitimate routingdoi:10.1109/infocom.2014.6848023 dblp:conf/infocom/LutuBCM14 fatcat:sg6doxadxremxc4xrzznvddzge