Hello LuKreme,

Looking with your eyes this is righ. Maybe some very low score and something
more particular .. like in geomark ....

Well, great ! Thanks to share this things ...
Marcelo


Matt Kettler-3 wrote:
> 
> LuKreme wrote:
>> On 10-May-2009, at 13:28, M<Galeti wrote:
>>> I started to check logs and saw 70%, 80% of emails
>>> coming in weekends are spam (in my case).
>>
>> But more than 70-80% of the emails coming in on any day of the week
>> are spam.
>>
>> 09-May-09: 85%
>> 08-May-09: 87%
>> 07-May-09: 82%
>> 06-May-09: 88%
>> 05-May-09: 86%
>> 04-May-09: 93%
>> 03-May-09: 92%
>>
>> Actual percentages are higher, this is just the spam that was rejected
>> during transaction.  You can pretty safely add 3-5% to every number to
>> get an idea of the real spam totals.
>>
> Interesting. In my environment, the spam rate is more-or-less a constant
> rate, 24 hours a day. Occasionally the rate changes as new botnets rise
> and fall, but in general it's likely to remain at a nice steady "x"
> messages per hour.
> 
> Since our business is highly US-based, and not global, and most of our
> nonspam is business-to-business, our nonspam rates rise during work
> hours for the US (ie: from 9am eastern US, until 5pm pacific US, monday
> through friday), and drop off outside work hours.
> 
> That rise and fall ends up changing the spam percentage, because while
> the nonspam email rate at 3am is very low, the spam rate is roughly the
> same.
> 
> I think most companies which have a "regional" business base, and don't
> exchange email extensively with end consumers would find a similar
> pattern.
> 
> However, this begs the question, is time-based scoring really
> worthwhile? We've discussed it many times on this list before, and much
> like geography-based systems, I don't think it's worth any significant
> scoring.
> 
> The problem is, even though the spam percentage goes up at night, that
> does not mean that nonspam stops. It also does not mean that the nonspam
> messages sent during the night are any less important, or have any
> reason to be penalized.
> 
> Generally speaking, good spam criteria are ones that differentiate spam
> messages from nonspam messages. Time and geography systems don't
> differentiate, they're merely creating an artificial grouping in which
> there's a lot of spam, and a little nonspam. That's great for
> establishing a correlation, but correlation is not causation.
> 
> That's not to say that correlations aren't useful, but they're generally
> not worth "high" scores. They're generally best left with modest scores
> (ie: a quarter of your required_score threshold).
> 
> Also, since this kind of rule would only work well for a particular kind
> of email base (localized business), and would work poorly for others
> (home users), I don't think it could ever be made a part of SpamAssassin
> proper.
> 
> 
> 
> 
> 
> 
> 

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