Diminishing false positive classifications of unsolicited electronic-mail
First Claim
1. 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.
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Accused Products
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.
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Citations
19 Claims
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1. A method for diminishing false positive classifications of unsolicited electronic-mail, the method comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A system for diminishing false positive classifications of unsolicited electronic-mail, the system comprising:
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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. - View Dependent Claims (18)
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19. 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:
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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.
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Specification