Microsoft Technology Licensing, LLC

Microsoft Corporation

Kenneth R Aldinger

David Earl Heckerman

Joshua T Goodman

Robert L Rounthwaite

Bryan T Starbuck

Eliot Carleton Gillum

Nathan D Howell

David E Heckerman

Eliot C Gillum

The subject invention provides for an advanced and robust system and method that facilitates detecting spam. The system and method include components as well as other operations which enhance or promote finding characteristics that are difficult for the spammer to avoid and finding characteristics in non-spam that are difficult for spammers to duplicate. Exemplary characteristics include analyzing character and/or number sequences, strings, and sub-strings, detecting various entropy levels of one or more character sequences, strings and/or sub-strings and analyzing message headers.

Advanced spam detection techniques

The subject invention provides for an advanced and robust system and method that facilitates detecting spam. The system and method include components as well as other operations which enhance or promote finding characteristics that are difficult or the spammer to avoid and finding characteristics in non-spam that are difficult for spammers to duplicate. Exemplary characteristics include examining origination features in pairs, analyzing character and/or number sequences, strings, and sub-strings, detecting various entropy levels of one or more character sequences, strings and/or sub-strings as well as analyzing message and/or feature sizes.

Growing community of inventors

Redmond, WA, United States of America

Kenneth R Aldinger