An authenticated correspondent database

Abstract

The invention discloses a system that can intelligently drive down false positive rates with regard to identification and / or classification of spam correspondence. Authentication information from sending domains can be stored and used to establish confidence and drive down the false positives related to acceptance and / or classification of communications. A correspondent database of known correspondents can be constructed using the authenticated information. Accordingly, decisions (e.g., white and black list) can be better informed by employing relationship and correspondent communication pattern data which is maintained within the correspondent database.

Description

technical field [0001] The subject disclosure relates generally to electronic communications and more specifically to authenticating senders to secure electronic communications and information transfer with respect to various modalities. Background technique [0002] Enterprises employ many protocols for internal and / or external communication and messaging to ensure reliability, security, and compliance with specific policies. For example, internal and / or external communications and information transfers may include, but are not limited to, instant messaging (IM), electronic mail (email), Internet Protocol (IP) telephony, web mail, web browsing, communication via two or more computers Text messages over the network (or network-connectable, processor-based devices), etc. These electronic communication media are popular for providing less intrusive, cheap, easy, point-to-point communication than traditional techniques and / or disparate non-electronic communications. There are...

AI Technical Summary

Problems solved by technology

Thus, traditional techniques (e.g., content-based filters, IP address-based filters, etc.) are becoming less effective at identifying and blocking bogus spam messages associated with electronic communications

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