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Rachel Kremen of Technology Review reports: "New software developed at the Georgia Institute for Technology can identify spam before it hits the mail server. The system, known as SNARE (Spatio-temporal Network-level Automatic Reputation Engine), scores each incoming e-mail based on a variety of new criteria that can be gleaned from a single packet of data. The researchers involved say the automated system puts less of a strain on the network and minimizes the need for human intervention while achieving the same accuracy as traditional spam filters."

Read full story: Technology Review

Related topics: Spam