Evaluating RPKI ROV Identification Methodologies in Automatically Generated Mininet Topologies

The deployment of the Resource Public Key Infrastructure (RPKI) is currently gaining traction within the operator community and so are measurement methodologies trying to measure the current deployment status. These methodologies, which are attempting to infer Autonomous Systems (ASs) performing Route Origin Validation (ROV), are applied onto real world data but validation of the results is usually hard as no ground-truth dataset exists. We propose to build such a dataset with the help of Mininet in a way that ROV measurement methodologies can be evaluated within a testbed in which filtering ASs are known to the experimenter. The Mininet topology generator will not only be specific for RPKI measurements but could be used also as an evaluation testbed for any kind of measurements that require a ground-truth dataset. Our framework is fed with real world BGP collector data, renders an abstraction of the acquired topology graph and translates it into a Mininet topology. In our scenario, RPKI filtering is deployed within the topology such that the testbed can later on be used to evaluate existing RPKI ROV measurement methodologies. We therefore plan to contribute an automated Mininet topology generator and insights into the accuracy of current ROV identification methodologies.