Origination/destination features and lists for spam prevention

G - Physics – 06 – F

Patent

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Details

G06F 17/00 (2006.01) G06Q 10/00 (2006.01) H04L 12/16 (2006.01) H04L 12/54 (2006.01) H04L 12/58 (2006.01)

Patent

CA 2467869

The present invention involves a system and method that facilitate extracting data from messages for spam filtering. The extracted data can be in the form of features which can be employed in connection with machine learning systems to build improved filters. Data associated with origination information as well as other information embedded in the body of the message that allows a recipient of the message to contact and/or respond to the sender of the message can be extracted as features. The features or a subset thereof can be normalized and/or deobfuscated prior to being employed as features of the machine learning systems. The (deobfuscated) features can be employed to populate a plurality of feature lists that facilitate spam detection and prevention. Exemplary features include an email address, an IP address, a URL, an embedded image pointing to a URL and/or portions thereof.

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