Inbound content filtering via automated inference detection

Details Inbound content filtering via automated inference detection Inbound content filtering via automated inference detection

2007-12-05

2010-12-28

Wong, Don (Department: 2163)

Data processing: database and file management or data structures

Database and file access

Record, file, and data search and comparisons

C707S706000, C707S754000, C707S771000, C707SE17059, C707SE17061, C707SE17062, C707S999001, C707S999003, C707S999004

Reexamination Certificate

active

07860885

ABSTRACT:
A system is provided to detect email spam. During operation, the system receives an email, extracts a set of keywords from the email body, and constructs a first search query based a keyword extracted from the email body. The system further constructs a second search query based on the keyword in the first query and one additional word which pertains to a known spam word or to the subject of the email. Next, the system receives a first number of hits and a second number of hits in response to the first and second search queries, respectively. The system then determines whether the email is spam based on the first number and the second number. The system can also perform Website filtering using inference detection which is based on search results received in response to search queries formulated with keywords extracted from Websites.

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patent: 2008/0033797 (2008-02-01), Chickering et al.
patent: 2008/0077558 (2008-03-01), Lawrence et al.

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