DIMES: let the internet measure itself
ACM SIGCOMM Computer Communication Review
A Comparative Analysis of BGP Anomaly Detection and Robustness Algorithms
CATCH '09 Proceedings of the 2009 Cybersecurity Applications & Technology Conference for Homeland Security
Where the sidewalk ends: extending the internet as graph using traceroutes from P2P users
Proceedings of the 5th international conference on Emerging networking experiments and technologies
The (in)completeness of the observed internet AS-level structure
IEEE/ACM Transactions on Networking (TON)
Public internet routing registries (IRR) evolution
Proceedings of the 5th International Conference on Future Internet Technologies
Evolution of internet address space deaggregation: myths and reality
IEEE Journal on Selected Areas in Communications - Special issue title on scaling the internet routing system: an interim report
AS-level topology collection through looking glass servers
Proceedings of the 2013 conference on Internet measurement conference
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The IRR is a set of globally distributed databases with which ASes can register their routing and address-related information. It is often believed that the quality of the IRR data is not reliable since there are few economic incentives for the ASes to register and update their routing information timely. To validate these negative beliefs, we carry out a comprehensive analysis of (IP prefix, its origin AS) pairs in BGP against the corresponding information registered with the IRR, and vice versa. Considering the BGP and IRR practices, we propose a methodology to match the (IP prefix, origin AS) pairs between the IRR and BGP. We observe that the practice of registering IP prefi xes and origin ASes with the IRR is prevalent. However, the quality of the IRR data can vary substantially depending on routing registries, regional Internet registries (to which ASes belong), and AS types. We argue that the IRR can help improve the security level of BGP routing by making BGP routers selectively rely on the corresponding IRR data considering these observations.