Diminishing false positive classifications of unsolicited electronic-mail
AssigneeMailFrontier, Inc.
InventorsBrian Wilson, David Koblas, Arno Penzias
Life of this patent
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Abstract
A system and method for diminishing false positive classifications of unsolicited electronic-mail is disclosed. An electronic-mail message is received whereby a set of message classifiers are applied the message. One or more signatures indicative of unsolicited electronic-mail based on at least the application of the aforementioned classifiers is generated. The one or more signatures are applied to subsequently incoming electronic-mail messages whereby unsolicited electronic-mail may be more accurately identified and false positive identification of normal electronic-mail messages are reduced.
Claims19
A method for diminishing false positive classifications of unsolicited electronic-mail, the method comprising:
- receiving an electronic-mail message;
- applying a set of message classifiers to the electronic-mail message, the set of message classifiers comprising:
- at least one rule-based heuristic,
- at least one content filter, and
- user-generated feedback;
- generating one or more signatures indicative of unsolicited electronic-mail based on at least the set of message classifiers applied to the electronic-mail message;
- applying the one or more signatures to subsequent incoming electronic-mail messages, wherein unsolicited electronic-mail may be identified and false positive identifications of normal electronic-mail messages are reduced.
A system for diminishing false positive classifications of unsolicited electronic-mail, the system comprising:
- a database of signatures, each of the signatures associated with unsolicited electronic-mail to be excluded from an end-user mail client;
- an electronic-mail server coupled to a network appliance, the network appliance configured to intercept unsolicited electronic-mail as identified by a signature from the database of signatures prior to receipt of the electronic-mail by the mail server;
- and
- an end-user mail client coupled to the electronic-mail server, the electronic-mail server configured to receive electronic-mail not identified as unsolicited electronic-mail by one or more of the signatures from the database of signatures.
A computer-readable medium having embodied thereon at least one program, the at least one program being executable by a computer to perform a method for diminishing false positive message classification of unsolicited electronic-mail, the method comprising:
- applying a set of message classifiers to an electronic-mail message, the set of message classifiers comprising:
- at least one rule-based heuristic,
- at least one content filter, and
- user-generated feedback;
- generating one or more signatures indicative of unsolicited electronic-mail based on at least the set of message classifiers applied to the electronic-mail message;
- applying the one or more signatures to subsequent incoming electronic-mail messages, wherein unsolicited electronic-mail may be identified and false positive identifications of normal electronic-mail messages are reduced.
Dependencies are inferred from the claim text.