Spam identification using an algorithm based on histograms...

Details Spam identification using an algorithm based on histograms... Spam identification using an algorithm based on histograms...

2011-08-16

2011-08-16

Shin, Kyung H (Department: 2443)

Electrical computers and digital processing systems: multicomput

Computer conferencing

Demand based messaging

C709S203000, C709S213000

Reexamination Certificate

active

08001195

ABSTRACT:
A system, method and computer program product for identifying spam in email messages, including (a) identifying unique words and all their variations in the text of the email; (b) filtering noise words from the text; (c) determining how many times each unique word or its morphological variations is found in the text; (d) assigning an identifier to each unique word in the text based on the number of times the unique word is found; (e) creating a lexical vector of the text based on all the identifiers assigned; (f) generating a histogram based on the lexical vector; (g) comparing the histogram against the histograms of lexical vectors corresponding to known spam texts stored in the database; (h) if the histograms coincide within a certain threshold, then the email text is identified as spam.

REFERENCES:
patent: 7299261 (2007-11-01), Oliver et al.
patent: 7555523 (2009-06-01), Hartmann

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