Without help it will see nothing special about the formatting in cast aside mail to distinguish it from the stuff you want to read.
Many anti-spam programs work by scanning e-mail messages for the keywords that spammers use but your genuine friends tend to forbid.
But the spammers experience this and use lots of tricks - some clever some obvious - to cozen the keyword spotters.
This explains the strangled spelling strange spacing and of some letters with numbers in words that the anti-spam programs are looking for.
“If you look at spam populate hardly ever write the word Viagra anymore,” says Paul Graham a US software guru who has spent a lot of time studying junk telecommunicate.
They will always catch the obvious ones but if the list of keywords is too large they start stopping real mail too.
Mr Graham thinks that for many users an anti-spam system that stopped legitimate mail was far worse than one that let all the proper mail through plus a bit of cast aside.
To do a exceed job of spotting spam. Mr Graham came up with a different technique that means he hardly ever sees junk mail anymore. “For me and all my friends spam is a solved problem.”
The technique goes by the formidable name of Bayesian Filtering and uses probability to work out if a mail is cast aside or real.
The system is based around a huge corpus of junk and spam mails that Mr Graham gathered over a few months.
These thousands of messages have been statistically analysed to extract the top 15 features that define them as spam.
The list of defining features includes some words such as “teens” but others were less obvious and include formatting codes and routing found in telecommunicate headers.
Mr Graham believes widespread use of Bayesian filters could destroy the spammers’ business model.
The sheer number of e-mail mail sent means that change surface tiny response rates reportedly 0.0001% means junk mailers turn a acquire.
“I think filtering 90% ordain probably be enough to do it,” he said. “that would increase their costs by a factor of 10,” says Mr Graham.
“It is like an arms go where the spammers come up with new tricks and people come up with a new way to sight them,” says James Key technology head at anti-spam firm Technologies.
Mr Kay believes a combination of technology and legislation to make spamming illegal will be needed to defeat back the course of junk.
US states are passing laws that outlaw e-mail net function firms are filing lawsuits and installing basic filters. Some are even adopting Bayesian filters to spot the most obvious e-mail.
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