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OPEN QUESTIONS

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Board Question #2 related Questions

from meeting #47

What is the role of the addition of applications incorporating stub resolvers directly rather than depending on recursive/iterative resolvers


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Board Question #3 related Questions


signaling interruption (how will apps and/or program logic change


rae there harms that can be prevented through contracted relationships (i.e., ICANN contracted parties)?

Are we giving people incentive to work around the concept of one authoritative root?


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Board Question #6 related Questions




You're not allowed to have wild cards at the end so when we begin our analysis of mitigation strategy and thinking about that we can certainly talk about this question of wild carding at that second level or not? 


kinds of harm that can occur (

Mitigation question how long is mitigation required? 


Mitigation question: how are we going to measure whether the mitigation is acting is successful or not.

Action items identified during plenary meetings & calls are reported in the tables below:

  • Amy to set up working sessions based on subject, for team members to attend, get questions answered, and complete their assigned sessions.

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Data Related Questions


Is DITL data sufficient to analyze long term trends?

What additional signal is gained by adding additional roots? (in other words, What is the profile of query data from other roots besides A & J?)

Given a set of strings observed at the root from an open recursive resolver, how does the traffic volume and other characteristics appear at the recursive?  (in other words, What is the profile of query data as seen from resolvers that query roots?  i.e. popular resolvers such as Google, Quad9, OpenDNS?)

What bias is there in the geographic location of query data? Do query profiles differ by region or ISP? Do each roots have a bias in the query traffic they see due to peering agreements or anycast instance placement over other roots? (minor question)

Give a set of strings observed at the root that are mainly Qname minimized, how does the traffic differ at the recursive?

What was the change in query profile traffic (before and after) when some of the newer TLDs were delegated?

Given the set of ICANN collision reports, is there any signal pre/post-delegation of the string that in hindsight could have indicated name collision risk?

How do new strings (Crypto, Eth, etc.), that have purposely elected to use non-delegated TLDs, occur in the public global DNS?

Where do the low, medium, and high risk strings of 2012 appear in overall traffic volume distribution?

What is the query profile from within an organization that uses one of the TLDs under analysis (e.g. .corp)?






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Status

Data Analysis Related Questions


What are the P-values (significance) and the effect size of the factors identified in the PCA analysis?

What is the effect of QNAME minimization on the analysis?

Update the table of top strings measured by query volume, distinct SLDs, distinct networks, and ASNs to include all of top X strings.

All of the data analysis conducted thus far has been largely query-based.  Is this sufficient?

And then, what kind of monitoring can you do, with those reports and what actions would be taken based on those reports over time?


If there's a mitigation strategy is there an obligation on the part of the Registry operator to report back on the status of that mitigation strategy?


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Study Methodology Related Questions


Can an experiment be conducted by one or more resolvers or servers to measure the effect of delegating a name under analysis (e.g. create a view in partnership with an ISP and it’s customers to delegate .mail, .internal, or .corp)?

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