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Bulk electronic message detection by header similarity analysis

  • US 7,831,677 B1
  • Filed: 03/27/2009
  • Issued: 11/09/2010
  • Est. Priority Date: 09/16/2004
  • Status: Active Grant
First Claim
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1. A computer-implemented method for detecting bulk electronic messages, comprising:

  • parsing, by a computer system, header fields of at least one electronic message;

    associating, by the computer system, at least one constituent unit with each header field to define a set of constituent units for each field;

    forming, by the computer system, a collection of constituent unit sets;

    finding, by the computer system, cardinality of an intersection between an additional set of constituent units from an additional electronic message and the collection of constituent unit sets, to determine a measure of similarity; and

    responsive to the measure of similarity exceeding a predetermined level, concluding, by the computer system, that the electronic messages are bulk electronic messages.

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