Evaluating electronic mail messages based on probabilistic...

Details Evaluating electronic mail messages based on probabilistic... Evaluating electronic mail messages based on probabilistic...

2011-04-05

2011-04-05

Sparks, Donald (Department: 2129)

Data processing: artificial intelligence

Machine learning

C705S076000, C709S242000

Reexamination Certificate

active

07921063

ABSTRACT:
A computer system can evaluate electronic messages based on probabilistic analysis, including Bayesian analysis. In one embodiment, a data processing system comprises logic configured for perform training a probabilistic filter using first properties of one or more first network resource identifiers obtained from a whitelist; training the probabilistic filter using second properties of one or more second network resource identifiers obtained from a blocklist; testing third properties of a third network resource identifier using the probabilistic filter, resulting in creating a probability output; and adding the third network resource identifier to the blocklist when the probability output is greater than a specified threshold. The blocklist can be communicated to messaging gateways in the field for local use in evaluating messages that contain spam or other threats.

REFERENCES:
patent: 2003/0051026 (2003-03-01), Carter et al.
patent: 2006/0031319 (2006-02-01), Nelson et al.
patent: 2007/0078936 (2007-04-01), Quinlan
patent: 2010/0010940 (2010-01-01), Spyropoulos et al.
J. Goodman et al., “Fighting Spam with Statistics,” published by Microsoft Corporation, undated, downloaded Jul. 22, 2008, 6 pages.

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