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Dramatic growth in Internet connectivity poses a challenge for the resource-constrained data collection efforts that support scientific and operational analysis of interdomain rout- ing. Inspired by tradeoffs made in other disciplines, we explore a fundamental reconceptualization to how we design public BGP data collection architectures: an overshoot-and-discard approach that can accommodate an order of magnitude increase in vantage points by discarding redundant data shortly after its collection. As defining redundant depends on the context, we design algorithms that filter redundant updates without optimizing for one objective, and evaluate our approach in terms of detecting two noteworthy phenomena using BGP data: AS-topology mapping and hijacks. Our approach can generalize to other types of Internet data (e.g., traceroute, traffic). We offer this study as a first step to a potentially new area of Internet measurement research. 

The Internet Route Registry (IRR) and Resource Public Key Infrastructure (RPKI) both emerged as different solutions to improve routing security in the Border Gateway Protocol (BGP) by allowing networks to register information and develop route filters based on information other networks have registered. RPKI is a crypto system, with associated complexity and policy challenges; it has seen substantial but slowing adoption. IRR databases often contain inaccurate records due to lack of validation standards. Given the widespread use of IRR for routing security purposes, this inaccuracy merits further study. We study IRR accuracy by quantifying the consistency between IRR and RPKI records, analyze the causes of inconsistency, and examine which ASes are contributing correct IRR information. In October 2021, we found ROAs for around 20% of RADB IRR records, and a consistency of 38% and 60% in v4 and v6. For RIPE IRR, we found ROAs for 47% records and a consistency of 73% and 82% in v4 and v6. For APNIC IRR, we found ROAs for 76% records and a high consistency of 98% and 99% in v4 and v6. For AFRINIC IRR, we found ROAs for only 4% records and a consistency of 93% and 97% in v4 and v6.