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Re: [Asrg] 2. Analysis (specifically, trap addresses)

2003-10-02 06:38:33
On Thu, 02 Oct 2003 00:07:24 -0400, Yakov Shafranovich wrote:

Terry Sullivan wrote:
Ultimately, it seems to me that there is a need for a some sort of 
active (though not necessarily particularly time-consuming) trap 
address maintenance effort.  Otherwise, the only real opportunity
for *research* (as opposed to debate) lies in 
analysis/characterization of archival data.

What is the bottom line? Can you elaborate on your desired steps 
and what resources you require?

Actually, I was sorta hoping to inspire others to contribute their 
superior expertise to the discussion/effort.  Compared to several 
folks on here, my experience with trap addresses is minimal (and 
almost entirely accidental).  

I can help to identify/clarify/support the analytical goals that a 
trap address group might be asked to fulfill, along with helping to 
scope out the data/metadata requirements.  But I'm really neither 
qualified nor equipped to spearhead such an effort.  (Remember, I'm a 
statistician, not a mail admin.)

So, I guess the first step is for folks who're both able and willing 
to coordinate (or contribute to) a trap address effort to "raise 
their hands" (failing that, to write me/the chairs off-list).  For 
security purposes, the group should be small (again, no more than a 
handful of individuals) and thus needs to be composed entirely of 
folks both willing and able to actually contribute 
time/effort/expertise (and to sign NDAs).  If there's sufficient 
interest, the group could assemble and begin work almost immediately.  
If not, then the ASRG research agenda may need to be trimmed back.  

As for archival data, SpamArchive and others provide lots of it.
The FTC also maintains a spam archive and they might be open to 
the idea of running something against it if we ask them.

Hey, I'm all for analysis of passive data.  But many of the 
questions/proposals, etc. that have been floated on this list, from 
greylisting to 550/CR, can't be answered by analyzing archival data.  

- Terry

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