Analysis of BGP prefix origins during Google's May 2005 outage
Bibliographic record
Abstract
Google went down for 15 to 60 minutes around 22:10, May 07, 2005 UTC. This was explained by Google as having been caused by internal DNS misconfigurations. Another vulnerable protocol which could have caused such service outage is BGP. To pursue the latter possibility further, we explore how BGP was functioning during that period of time using the RouteViews BGP data set. Interestingly, our investigation reveals that one autonomous system (i.e., AS 174 operated by Cogent), which is apparently independent from Google, mysteriously originated routes for one of the IP prefixes assigned to Google (134.233.161.0/24) immediately prior to the service outage. As a result, 49.1% of ASes re-advertising routes for 64.233.161.0/24 switched to the incorrect path. Those poisoned ASes directly serve 1500 IP prefixes, and span a broad range of geographic locations. Since this erroneous prefix origination apparently has not occurred previously, or after this specific instance, we consider that it might have been the result of malicious activity (e.g., compromise of one or more BGP speakers) and contributed at least partially to Google's service outage.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".