RE: [Declude.JunkMail] Fw: BLOCK,MISC: MONKEYS.COM: Now retired f rom spam fighting rom spam fighting

2003-09-25 Thread Keith Anderson

There's the root of the problem:  spamming works.  If they didn't make money
from spam, they wouldn't do it.  Apparently the 1% that are still ignorant
about spam make it worth while to anger the 99%.  (I wonder what the real
ratio is?)

 I tend to forget that to me it's an annoyance and
 that to them it's money in the bank.



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RE: [Declude.JunkMail] Fw: BLOCK,MISC: MONKEYS.COM: Now retired f rom spam fighting rom spam fighting

2003-09-25 Thread Markus Gufler

 There's the root of the problem:  spamming works.  


Well, for me looks like also spam defense works :)

We've processed 37347 incomming messages in the last 14 days. 17878 of
them was hold as spam.
Our operators manualy check for false positives and have requeued 15
messages in 14 days.

I don't know exactly how much spam passed our filters but watching to my
personal inbox I've recieved 5 spam messages in the last 14 days. In the
same time I can count 401 hold spam messages addressed to my inbox.

Calculate it ho you want: Spam defense works! 
The question is how good it works without public available spam
blacklists.

Markus

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RE: [Declude.JunkMail] Fw: BLOCK,MISC: MONKEYS.COM: Now retired f rom spam fighting rom spam fighting

2003-09-25 Thread Pete McNeil
| There's the root of the problem:  spamming works.
|
|
|Well, for me looks like also spam defense works :)

|Calculate it ho you want: Spam defense works! 
|The question is how good it works without public available 
|spam blacklists.

I think pretty well... (I'm biased). 

Scott publishes monthly statistics on capture rates from his spam traps.
A number of tests in those statistics don't use any RBLs. I know that
Message Sniffer doesn't, for example, and consistently posts well into
the 90s for capture rate. False positives are reported as being very low
(I know this is our internal experience) - particularly after some
tuning.

We publish statistics on the number of false positives that are reported
to us. These numbers aren't a perfect representation but they do look
pretty good:

http://www.sortmonster.com/MessageSniffer/Performance/FalseReportsRates.
jsp

Also, naïve Bayesian systems, when applied at a specific mailbox, are
reported to work very well.

I'm sure that even if all DNSBLs went away the other systems available
would remain quite effective.

I'm also sure that more robust distributed / collaborative systems are
on the way which won't be susceptible to ddos attacks.

_M

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