On 6/14/04 11:41 AM, Peter C.S. Adams deftly typed out:

>> No, the JMF does not learn. Already junk mail is learning how to beat the
>> Bayesian filters that have become quite popular very quickly. It won't be
>> long before they loose their early effectiveness.
> 
> Barry, do you have any references to support this? I've never heard anything
> about spam "beating" Bayesian filters.

Spammers are now employing techniques dubbed "Bayesian poisoning". They will
insert random words or passages of text in their messages to cause their
message to score differently than it would otherwise and "poison" your Bayes
database. 

It's debatable whether this would actually decrease the effect of a personal
Bayes database. First of all, the use of random words will have very little
effect a Bayes database since it is very unlikely that valid mail would have
such a random collection of words. The use of passages of text is better
thought out, but the spammer would have to choose a passage of text that
would be something that would be considered ham based on your selection of
mail. Since your collection of spam and ham is based on your individual
selection this means that the spammer would have to either find a magic
one-size-fits-all paragraph or individualize each and every message. A
determined spammer can craft their messages over and over until the message
gets through the filters for a broader audience, but that is not worth the
effort to attempt on an individual level.

-Remo Del Bello 

-- 
"It's hard to be religious when certain people are never incinerated
by bolts of lightning."
- Calvin


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