Next-gen BitDefender solution adds heuristic spam filters

Written by Roxana Danaila


BitDefender 8 SpamDeny,repparttar new antispam solution for Windows workstations launched today is an advanced email protection tool which features updated, as well as new filters. “I’m very satisfied with how this version has turned out, because internal testing has shown an improvement of over 35% in detection rates, overrepparttar 105890 previous version. I would like to take this opportunity to thank all our users and testers, as we wouldn’t have had such a great product without their hard work, input and feedback,” said Nicolae Simon, BitDefender Product Marketing Manager.

The new rules ofrepparttar 105891 updated Heuristic filter will dutifully trash some new scam spam types, such as Nigerian scams, online casino scams, lottery scams and fake university diploma offers, while further reducingrepparttar 105892 number of false positives.

So What Makes a Good Spam Filter Anyway?

Written by Alan Hearnshaw


So What Makes a Good Spam Filter Anyway? By Alan Hearnshaw

Spam Filters. Most of us know we need one. Some of know we need a better one, but how many stop to think what actually makes a good spam filter inrepparttar first place?

This is not just a rhetorical question. It is a question that many users – and many developers - do not ask, and consequently, goes unanswered.

Maybe this could be better answered by defining hererepparttar 105889 qualities ofrepparttar 105890 perfect spam filter. We’ll call our perfect spam filterrepparttar 105891 “SpamSplatter 3000”. Here are some ofrepparttar 105892 defining qualities of “SpamSplatter 3000”

1. It requires zero interaction fromrepparttar 105893 user. 2. It produces zero false positives (good messages identified as bad) and zero false negatives (bad messages identified as good). 3. It is transparent – that is, you only ever see good messages and never need even be aware that spam exists.

That’s it. Not much of a shopping list is it? Of course, “SpamSplatter 3000” hasn’t been invented yet (and if it does, I want a piece ofrepparttar 105894 action), but it does give us a frame of reference when looking forrepparttar 105895 best filter we can find.

Let’s take each point in turn:

It requires zero interaction fromrepparttar 105896 user There are two kinds of filters that come near to this ideal currently: Bayesian Filters and Community Filters. Bayesian filters strip messages down to small “word bites”, or tokens and maintain a database containing lists of good and bad tokens. When a new message is encountered,repparttar 105897 filter strips this message down to tokens, compares it torepparttar 105898 database, and applies a formula based onrepparttar 105899 British scientist Alan Bayes’ formula for probability calculation. Over time,repparttar 105900 Bayesian filter “learns”repparttar 105901 characteristics of spam messages.

Community Filters simply work on a voting system whereby every user that receives a spam message “votes” it as spam. This information is stored on a central server and when enough votes are receivedrepparttar 105902 message is banned from all users inrepparttar 105903 community.

As can be seen,repparttar 105904 user interaction from these types of filters is mainly limited to two button operation – correcting wrongly identified messages – andrepparttar 105905 more accuraterepparttar 105906 filter,repparttar 105907 less those buttons are used.

OK, so that’s pretty good. Not exactly zero interaction, but ifrepparttar 105908 filter is accurate enough, then it should be pretty near. That brings us to point two:

It produces zero false positives or negatives This isrepparttar 105909 area in which most spam filter development is concentrating and things are getting pretty good nowadays. It is not at all unusual to see an efficient modern filter achieve accuracy of 96% or better. It is, of course, far better to have a false negative than a false positive if you are ever going to tear yourself away fromrepparttar 105910 killed mail folder!

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