PeeringDB
Still Accurate a Decade Later?
Radu Anghel (TU Delft - Technology, Policy and Management)
Carlos Gañán (TU Delft - Technology, Policy and Management)
Yury Zhauniarovich (TU Delft - Technology, Policy and Management)
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Abstract
PeeringDB consists of self-reported data and is widely used to facilitate network interconnection, automation, and research, often serving as a ground truth source. However, the accuracy of its data remains a significant concern. In this study, we evaluate the reliability of PeeringDB using a dataset from January 2025. Our analysis finds certain inconsistencies in key data elements. We identified ASNs that remain present in the database despite no longer being assigned. Analysis of self-reported network types reveals that 28.58% of networks either do not report a type or choose not to disclose it, challenging its use to support interconnection decisions. Further comparison of the available network types against their equivalent classifications from ASdb and IPinfo shows considerable disagreement. Manual validation of networks in the "Government"category reveals that only 77.10% of ASNs provided accurate network type. Finally, the consistency check of self-reported prefix counts with routing data from RIPE RIS and CAIDA ASRank indicated significant inconsistencies. Our findings underscore the need for enhanced validation mechanisms to improve the reliability of data provided by PeeringDB for improving its research and operational uses.
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