Measurements and Statistics

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IPv6 RIPEness Update and Methodology

IPv6 RIPEness Update and Methodology

Mirjam Kühne

3 min read

This is the first in a series of "interesting graphs" we are publishing in CircleID on a regular basis. The graph will always be published on RIPE Labs as well together with additional information and details. Here we will also describe the methodology used when producing those statistics.

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RIPE Labs 2.0 is going live

RIPE Labs 2.0 is going live

Mirjam Kühne

2 min read

RIPE Labs has been migrated to a new platform. At the same time we added some more functionality and made it easier to participate and navigate.

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Economic Incentives for Cooperation to Fight Spam

Economic Incentives for Cooperation to Fight Spam

7 min read

Around 90% of all email is spam, and the situation is not getting better. The IIAR project at the University of Texas is building econometric models for economic incentives for Internet email providers, so that they can better prevent and deal with spam and botnets.

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Interesting Graph - RIPE DB Objects

Interesting Graph - RIPE DB Objects

Robert Kisteleki

1 min read

This graph shows how the number of various RIPE Database objects evolved over time, in particular domain, intenum, route and aut_num objects.

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IPv6 Web Statistics

IPv6 Web Statistics

Emile Aben

1 min read

This data set consists of information on the fraction of IPv6 in hits and unique source IPs to www.ripe.net. This data was updated weekly between April 2008 and December 2010 and can be used as an indicator to track IPv6 deployment in this period.

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IPv6 Measurements - A Compilation (Part2)

IPv6 Measurements - A Compilation (Part2)

Mirjam Kühne

5 min read

This is the second part of a compilation of IPv6 measurements produced by various organisations and individuals, including links to their measurements, explanations of their methods and the results of their studies.

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IPv6 RIPEness - the Sequel

IPv6 RIPEness - the Sequel

Emile Aben

4 min read

As a follow-up to the article IPv6 RIPEness of LIRs, we did more analysis based on LIR signup year, size and the industry sector that the LIR operates in.

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