Is CAN-SPAM Working?
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One year after it went into effect, many say the nation's antispam law is ineffective.
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Unknown DDoS tool, predecessors A deluge of Trojan-laced spam that slyly tricked recipients by promising information about winter storms ravaging Northern Europe last month was even more crafty than we thought.â¦
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By Peterson, Patrick; Veizades, John  Yes  by Patrick Peterson, IronPort Systems "Image is everything," or so the saying goes. For more than 1 trillion spam messages sent since April (yes, that's 1,000,000,000,000), image has literally been everything.
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There's an old parable that goes like this:A man is sentenced to death by the king. In desperation, he asks that his life be spared if he can teach a pig to sing. The king agrees, and gives the man a year. Walking the man back to his cell, a guard comments that it seems like a foolish bargain; he doesn't really expect to be able to do it, does he? The man replies, "A lot can happen in a year. The king could die. I could die. Or who knows, maybe the pig will learn to sing."(Maybe it's an allegory. Or a fable. I can never keep these things straight.)I'm using the pig story to segu&#233; into Bayesian spam filters. But first, a quick trip back to spam filters in general. E-mail spam has been around for a while, and different schemes have been developed to determine whether a piece of e-mail is (probably) legit, or whether it's spam. One way is to create a blacklist of senders: Nothing from, say, 123junk.com is allowed into your inbox. Another is a whitelist: If you aren't an approved sender (e.g., mom, dad, Cousin Jimmy), you're mail won't go through. A third is the 'word search,' which looks for the kinds of words that rarely make it into a legitimate e-mail: "Viagra" springs to mind, and there are plenty of others that can't be printed on a family Web site. All of these anti-spam techniques have problems, mostly because they were either too narrowly focused to be effective, or because they were too easy for spammers to get around.But then came a different kind of spam filter - one based on the work of an obscure mathematician from the 18th century. One that works.Reverend TomThomas Bayes was an English Presbyterian minister and mathematician who lived from 1702 to 1761 in and near London. He only published two things while he was alive: a paper that tried to prove that God wants everyone to be happy, and another defending the accuracy of the calculus. After he died, though, is when Bayes's most important work was published. Called "Essay towards solving a problem in the doctrine of chances," it was discovered by an acquaintance (one Richard Price, for those of you who like the details) who sent it to the Royal Society which published it in its Philosophical Transactions in 1763.Out of that paper came what's called Bayes's Rule or Bayes's Theorem. It's a formula for guessing how likely it is that something will happen based on two or more independent events. Imagine you want to know what the chances of your 1986 Toyota Corolla making it cross country. Some "independent events" that might stop you are your engine failing, your transmission failing, your tires failing, and so on.To apply Bayesian probability here, you would figure the odds of each of those things, then input those numbers into Bayes's formula (which, by the way, is fairly simple). Let's say you figure the chance of your engine failing is 10%, the chance of your transmission failing is 15%, and the chance of your tires failing is 30%. Popping the numbers into Rev. Tom's formula tells you that the chance of your trip being ruined by any one of these things is actually less than 1%. Happy trails.(Is this counterintuitive? Maybe. Check out another example at Process Software.In 2002, Paul Graham changed the spam war forever when he published an article called "A Plan for Spam". In it, he demonstrated how Bayes's work could be used to sort out spam from legitimate e-mail.Instead of calculating the odds of whether your car will make it across the country, Graham used Bayesian techniques to determine how likely a piece of mail is to be spam. It bases this on how likely each word is to be in a spam message.(By the way, the word "word" is misleading. Bayesian filters also take into account things like Web links, text colors, and font size.)Thus, the more spam messages (and good messages) you get, the more information a Bayesian filter has and the better it gets at identifying junk. A lot of very good anti-spam products are based on Bayesian techniques.And they work very, very well.Basic trainingFirst, a Bayesian filter has to be trained; you need to tell it these are legit messages and these are spam. (Every Bayesian filter has a simple way to do this, usually by having you put all your spam in one mailbox. It then scans that Spam box for spam, and your Inbox for legit mail.)The filter looks at the words in every message to get an idea of what spam looks like. For example, if the word "buy" appears in 100 spam messages and only one legit message, it might be given a score of .99 - there's a 99% chance a message with "buy" in it is spam.On the other hand, the word "column" would (for me) be the opposite; it might appear in 99 legit messages and only one spam, and thus get a score of .01 or one percent.After going through this training process, the Bayesian software ends up with a list of words and their spammish probabilities (often called a "corpus"). When a new message arrives, the filter looks through the words in it and gives each a score based on those 'training' messages. Then it uses Bayes's formula to come up with a score for the message as a whole. If that's above a certain threshold, the message is tagged as spam and either marked, deleted, or separated.But the real beauty of the Bayesian-filter system comes next, when spam gets through. It's bound to do that, because spammers always try new tricks - they put in long passages of poetry, or try to disguise words with odd misspellings, or come up with other ways to sneak by. When a piece of spam ends up in your Inbox, a Bayesian filter has an extra option: one to mark it as junk. Sometimes it's a button or menu choice, other times you just need to move the message to a Spam folder. It also works the other way: Legit messages may land in the Spam box for various reasons, and they must be re-routed. Either way, the filter now knows what the newest kind of spam looks like.Bayesian filters work because they aren't dependent on things that might change: the way words are spelled, or where a message comes from. All they care about is what you say is spam. At least one filter, POPFile, actually lets you set up categories beyond just 'spam' and 'not spam,' so you can teach it to automatically sort out messages on a particular topic.There are a lot of technical ideas out there for curbing the flow of spam, but I'm willing to bet that none of them will work very well. Stopping spam is up to us, and Reverend Bayes has given us a powerful tool.Andrew Kantor is a technology writer, pundit, and know-it-all who covers technology for the Roanoke Times. He's also a former editor for PC Magazine and Internet World. Read more of his work at kantor.com. His column appears Fridays on USATODAY.com.
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By Jake Armstrong, The Record, Stockton, Calif.  Sep. 8--The gauntlet is down: two cans of Spam and any ingredients necessary to make the canned meat into an appealing dish.
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Lycos has apparently been the target of spam attacks following the release of their anti-spam deny of service campaign. The BlogBloke reports on this new happening in the anti-spam wars âItâs payback time!
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MADRID, Spain Some computer users are about to find out if fighting fire with fire works when they fight spam with spam. German-based Lycos Europe offers a free screensaver program that hits back at spam senders by flooding them with junk traffic.
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(Source: MessageLabs) It is possible to stop almost every unsolicited email from reaching your network. Outsourcing to a managed anti-spam service, such as MessageLabs, can provide the most cost-effective way of protecting your business against all spam threats.
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By Jim Hopkins  SAN FRANCISCO -- The tech quandary  for many small businesses isn't about building a better website or when to buy Microsoft's new Vista operating system. It's an old problem managers thought they'd already licked: spam.
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Putting a bounty on spammer&#39;s heads, as proposed in the CAN-SPAM Act, could be an expensive undertaking, according to a report from the Federal Trade Commission.
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The majority of viruses intercepted by MessageLabs since January have the potential for spam distribution, according to a report by the e-mail security firm. It suggests that the virus authors are now making money by collaborating with spammers.
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THE spammed can now hit back at the spammers with new software from Lycos called Make Love, Not Spam. The software sits on your PC and when the machine is not in use, it generates traffic on the sites of known
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Services try different approaches to sender authentication to halt spam.
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For a year, Microsoft Corp. has extolled the virtues of the Can-Spam Act, which Congress passed in late 2003 to crack down on purveyors of unwanted bulk e-mail.
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Shooting the messenger hasn't worked out for anti-spam forces -- not only is the messenger all but bulletproof, someone out there is actually buying the products it advertises. A growing movement believes that targeting those e-commerce sites is the more effective more for eventually cutting down on junk e-mail.
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Ryan points out a handy tool to help keep even more spammers from making their way to your blogs and posting comments - Bad Behavior.    I love Akismet the spam filter for comments that is built into Wordpress. It's blocked 812 spam comments in a little under 2 months for me. I was content with it, but I grew tiresome that it would even get to my site. Akismet is great for blocking spams that are already to your blog, but there has to be something out there that would block the spammers from coming to your site in the first place.   Luckily there is something like that, it's called Bad Behavior.    Luckily, it's also made for Wordpress, so you can download and install directly with no fuss. He comments that he's already seeing results with even more caught than Akismet was before.
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Do you have any suggestions for individuals and small businesses to combat spam?