Spam filters: Making them work
Here are eight ways to get more out of your e-mail watchdog. By Calvin Sun
Computerworld - Spam. It fills our in-boxes, wastes our time and spreads malware -- and it's only getting worse. According to Ferris Research, which studies messaging and content control, 40 trillion spam messages will be sent in 2008, costing businesses more than $140 billion worldwide -- a significant increase from the 18 trillion sent in 2006 and the 30 trillion in 2007.
In theory, e-mail filtering software and appliances allow "good" e-mail messages to pass through while stopping spam. But the filters can mistakenly allow spam to pass through (a false negative), or they can mistakenly block valid e-mail (a false positive).
Typically, after identifying a message as spam, the filtering software either blocks it or quarantines it, letting the recipient review it later. Although the latter method provides a chance to retrieve false positives, it requires time and effort that users often won't spare.
Users and organizations that receive spam pay about four cents per message to delete it, according to Ferris. But Richi Jennings, a Ferris analyst and a Computerworld.com blogger, says the cost of locating missing valid e-mails is far greater -- about $3.50 per message.
Even worse, Jennings says, is that organizations can incur potentially greater costs through missed opportunities because of false positives they never see -- such as a request for proposal that a consulting firm fails to receive.
Combating False Positives
On both the sending and the receiving ends, minimizing false positives is critical for your organization. Here are some steps you can take.
1. Use a spam filter. False positives can leave you wondering if you should simply toss your spam filter. Don't.
False positives can occur even without a filter, such as when a user, seeing multiple spam subjects in an in-box, manually hits "delete" multiple times, not realizing that buried within the list is a legitimate e-mail. A state-of-the-art spam filter catches 97% to 99% of spam, says Jennings, thus helping prevent erroneous manual deletions.
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