Question 1

Why do most BGP community tags fail to indicate the true prefix origin location?

Accepted Answer

Direct mapping fails because 96% of routes carry location markers situated over 50 km from their actual prefix origin. This spatial disconnect invalidates direct geolocation assumptions for the vast majority of observed paths without filtering.

Question 2

How accurate is the passive inference method compared to commercial IP geolocation databases?

Accepted Answer

Algorithmic approaches achieve 70 km precision for 80% of communities, significantly outperforming standard commercial databases. In contrast, commercial IP geolocation databases show city-level consistency of only 82% generally across the global routing table.

Question 3

What percentage of undocumented BGP communities can this spatial correlation method successfully identify?

Accepted Answer

The method successfully infers locations for 93% of communities in the validation dataset by exploiting spatial clustering. This high recall rate proves that passive inference can decode semantics where manual dictionary approaches currently fail.

Question 4

Why are traditional dictionary-based approaches insufficient for mapping the majority of BGP communities?

Accepted Answer

Operators relying on dictionary-based approaches cover merely 22% of observed communities, forcing reliance on passive inference for the remainder. Approximately 90% of observed BGP communities in the wild lack public documentation entirely.

Question 5

How common are routes that are tagged close enough to their origin for direct mapping?

Accepted Answer

Only about 4% of routes tag prefixes close to their origin, complicating direct mapping without filtering mechanisms. The limitation is that most tags reflect handoff locations rather than the source geography of the prefix.

Citylevel on Wirez

Routing communities reveal 93% of hidden handoff sites