SpamGuru: An Enterprise Anti-Spam Filtering System

Spam-reduction techniques have developed rapidly over the last few years, as spam volumes have increased. We believe that no one anti-spam solution is the “right” answer, and that the best approach is a multifaceted one, combining various forms of filtering with infrastructure changes, financial changes, legal recourse, and more, to provide a stronger barrier to spam than can be achieved with one solution alone. SpamGuru addresses the part of this multi-faceted approach that can be handled by technology on the recipient’s side, using plug-in tokenizers and parsers, plug-in classification modules, and machine-learning techniques to achieve high hit rates and low false-positive rates.

• Type: Conference
• Year: 2004
• Where: CEAS
• Authors: Richard Segal, Jason Crawford, Jeffrey O. Kephart, Barry Leiba
• Keywords: CEAS 2004, Low False-positive Rates, Plug-in Classification Modules, Spam Volumes