Hello,
I believe that today's spam filters already use statistical tools,
namely, non-parametric bayesian methods. This would mean that they can
adapt to known attacks but are useless against new ones.
Merry Christmas,
Rui Barradas
Em 24-12-2012 15:57, Ben Bolker escreveu:
Arun Kumar Saha
Arun Kumar Saha gmail.com> writes:
>
> Can the Statisticians here develop some good Statistical tool to stop this
> Spamming keeping Type-I error almost zero?
As Bruce Schneier (surely among others) has pointed out, the difference
between security against natural risks (analogous to most stat
Can the Statisticians here develop some good Statistical tool to stop this
Spamming keeping Type-I error almost zero?
Thanks and regards,
_
Arun Kumar Saha, FRM
QUANTITATIVE RISK AND HEDGE CONSULTING SPECIALIST
Visit me at: http://in.linkedin.co
> Duncan Murdoch
> on Sun, 23 Dec 2012 13:59:08 -0500 writes:
> On 23/12/2012 1:46 PM, Rui Barradas wrote:
>> This happened two or three weeks ago and it's happening
>> again. Spammers are using Nabble to attack R-Help.
indeed. What a bad way to misuse Christmas holiday
On 23/12/2012 1:46 PM, Rui Barradas wrote:
This happened two or three weeks ago and it's happening again.
Spammers are using Nabble to attack R-Help. The psts are signed radhi
and the posts' titles are taken from previous posts and therefore seem
authentic but all messages end with "click here".
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